CN108449495A - Voice call data processing method and device, storage medium and mobile terminal - Google Patents

Abstract

The embodiment of the application discloses a voice call data processing method, a voice call data processing device, a storage medium and a mobile terminal. The method comprises the following steps: the method comprises the steps of detecting that a voice call group in a preset application program of the mobile terminal is successfully established, obtaining first WiFi information connected with the voice call group and second WiFi information connected with other mobile terminals in the voice call group, judging whether a target mobile terminal connected to the same WiFi hotspot with the mobile terminal exists in the voice call group or not according to the first WiFi information and the second WiFi information, and if yes, performing anti-howling processing on voice call data in the mobile terminal. By adopting the technical scheme, the embodiment of the application can select a proper time to perform howling prevention processing after the voice call function in the application program of the mobile terminal is started.

Description

Voice call data processing method, device, storage medium and mobile terminal

technical field

The embodiments of the present application relate to the technical field of voice calls, and in particular, to a voice call data processing method, device, storage medium, and mobile terminal.

Background technique

At present, with the rapid popularization of mobile terminals, mobile terminals such as mobile phones and tablet computers have become one of the necessary communication tools for people. The communication methods between mobile terminal users are becoming more and more abundant, and they are no longer limited to the traditional telephone and short message services provided by mobile communication operators. In many scenarios, users are more inclined to use Internet-based communication methods, such as various Voice chat and video chat functions in social software.

In addition, functions of applications (Applications, APPs) in mobile terminals are becoming more and more perfect, and voice call functions are set in many applications to facilitate communication among users using the same application. Taking game applications as an example, some games that require interaction between players have added a built-in voice call function, and users can communicate with other players by voice while using mobile terminals to play games. However, in the voice call process, there are many types of sounds contained in the voice call data, such as the voice of each player, the sound of the application itself (such as the background sound or special effect sound of the game, etc.), and the environment in which the mobile terminal is located. Other sounds, etc., due to the complexity of the sound, howling is prone to occur, which seriously affects the use of users.

Contents of the invention

Embodiments of the present application provide a voice call data processing method, device, storage medium, and mobile terminal, which can select an appropriate time to perform anti-howling processing after the voice call function in the application program of the mobile terminal is enabled.

In the first aspect, the embodiment of the present application provides a voice call data processing method, including:

It is detected that the voice talk group in the preset application program of the mobile terminal is successfully established;

Obtaining the first WiFi information connected by the mobile terminal and the second WiFi information connected by other mobile terminals in the voice call group;

According to the first WiFi information and the second WiFi information, it is judged whether there is a target mobile terminal connected to the same WiFi hotspot as the mobile terminal in the voice call group, and if there is a target mobile terminal in the mobile terminal Anti-howling processing for voice call data.

In the second aspect, the embodiment of the present application provides a voice call data processing device, including:

The talk group detection module is used to detect whether the voice talk group in the preset application program of the mobile terminal is established successfully;

The WiFi information acquisition module is used to obtain the first WiFi information connected by the mobile terminal and the first WiFi information connected by other mobile terminals in the voice talk group after detecting that the voice talk group in the preset application program of the mobile terminal is successfully established. 2. WiFi information;

A judging module, configured to judge whether there is a target mobile terminal connected to the same WiFi hotspot as the mobile terminal in the voice call group according to the first WiFi information and the second WiFi information;

The anti-howling processing module is configured to perform anti-howling processing on the voice call data in the mobile terminal when the judging result of the judging module is yes.

In a third aspect, the embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the method for processing voice call data as described in the embodiment of the present application is implemented.

In the fourth aspect, the embodiment of the present application provides a mobile terminal, including a memory, a processor, and a computer program stored in the memory and executable by the processor, and when the processor executes the computer program, the implementation of the present application is implemented. The voice call data processing method described in the example.

The voice call data processing solution provided in the embodiment of the present application detects that the voice call group in the preset application program of the mobile terminal is successfully established, and obtains the first WiFi information connected to the current mobile terminal and the connection information of other mobile terminals in the voice call group. The second WiFi information, according to the first WiFi information and the second WiFi information, judge whether there is a target mobile terminal connected to the same WiFi hotspot with the mobile terminal in the voice call group, and if there is, the voice call data in the mobile terminal is processed Anti-howling treatment. By adopting the above technical solution, after the voice talk group of the preset application program in the mobile terminal is successfully established, when it is detected that there are other mobile terminals in the voice talk group that are closer to the current mobile terminal, the current mobile terminal Anti-howling processing is performed on the voice call data to reduce the inconvenience caused by howling sound to users.

Description of drawings

FIG. 1 is a schematic flow diagram of a voice call data processing method provided in an embodiment of the present application;

FIG. 2 is a schematic diagram of an original howling voice spectrum analysis provided by an embodiment of the present application;

FIG. 3 is a schematic diagram of a notch filter provided in an embodiment of the present application;

FIG. 4 is a schematic diagram of howling speech spectrum analysis provided by an embodiment of the present application after being processed by a notch filter;

FIG. 5 is a schematic flow diagram of another voice call data processing method provided by the embodiment of the present application;

FIG. 6 is a schematic flow diagram of another voice call data processing method provided by the embodiment of the present application;

FIG. 7 is a structural block diagram of a voice call data processing device provided by an embodiment of the present application;

FIG. 8 is a schematic structural diagram of a mobile terminal provided by an embodiment of the present application;

FIG. 9 is a schematic structural diagram of another mobile terminal provided by an embodiment of the present application.

Detailed ways

The technical solution of the present application will be further described below in conjunction with the accompanying drawings and through specific implementation methods. It should be understood that the specific embodiments described here are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only some structures related to the present application are shown in the drawings but not all structures.

Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the steps as sequential processing, many of the steps may be performed in parallel, concurrently, or simultaneously. Additionally, the order of steps may be rearranged. The process may be terminated when its operations are complete, but may also have additional steps not included in the figure. The processing may correspond to a method, function, procedure, subroutine, subroutine, or the like.

FIG. 1 is a schematic flowchart of a voice call data processing method provided by an embodiment of the present application. The method can be executed by a voice call data processing device, wherein the device can be implemented by software and/or hardware, and can generally be integrated in a mobile terminal. As shown in Figure 1, the method includes:

Step 101, detecting that the voice talk group in the preset application program of the mobile terminal is successfully established.

Exemplarily, the mobile terminal in the embodiment of the present application may include mobile devices such as mobile phones and tablet computers. The preset application program may be an application program with a built-in voice group call function, such as an online game application, an online classroom application, a video conferencing application, or other applications requiring multi-person collaboration, and the like.

Exemplarily, the voice call group may include 2 members, but in most cases, it generally includes 3 or more members, so that voice calls between 3 or more mobile terminals can be realized. The voice talk group can be established by a user who uses a preset application program on the mobile terminal. After the voice talk group is established successfully, all mobile terminals included in the voice talk group can communicate with each other. Generally, when the mobile terminal is not in the silent mode or in the earphone mode, it can be understood that the mobile terminal is in the loudspeaker mode, and the voice of each user in the voice call group will be collected by the microphone of the mobile terminal he is using, and After network transmission and processing, it is played through speakers of other users' mobile terminals. Take the game application as an example. If you need to form a team to cooperate in battle, you can enable the team voice function. Suppose there are 5 players in the team. After the voice call group is established successfully, these 5 people can communicate with each other. Any player can Hear what the other 4 players are saying at the same time, as if the other 4 players are talking beside you, which is convenient for communicating and playing games. The executive subject of the technical solution of the present application, that is, the current mobile terminal, may be any mobile terminal in the voice talk group, or one or several designated mobile terminals in the voice talk group. That is to say, any mobile terminal in the voice call group may execute the method provided by the embodiment of the present application, or one or more designated mobile terminals may execute the method provided in the embodiment of the present application, or all mobile terminals may execute the method provided in the embodiment of the present application. The method provided in the embodiment of this application.

Generally, when the mobile terminal is in the speaker mode, the sound collected by the microphone of the mobile terminal includes not only the voice of the user himself, but also the sound of the preset application program played by the speaker, such as background music, etc. Contains the sound of the surrounding environment, and may also contain the voices of other people in the voice call group played by the speaker, so that when multiple mobile terminals collect data containing various sounds and send them to the same mobile terminal through the network (such as There are 5 mobile terminals in the voice talk group, then 4 of them will send the collected sounds to the server, and the server will send the sound data of the 4 mobile terminals to the 5th mobile terminal), these sounds will be in Mixed playback in the mobile terminal may cause howling.

Step 102. Obtain first WiFi information connected to the mobile terminal and second WiFi information connected to other mobile terminals in the voice call group.

In the embodiment of the present application, in order to perform howling detection at an appropriate time and avoid extra power consumption caused by useless howling detection at an inappropriate time, it is possible to first detect whether there is a mobile phone in the voice group. Other mobile terminals with a relatively short terminal distance. In the application scenario of multi-person voice, the inventor found that when the distance between two mobile terminals is relatively short, howling is very likely to occur. Assuming that the distance between mobile terminal A and mobile terminal B in the voice call group is relatively close, the speaker of mobile terminal A will amplify and play the received sound collected by the microphone of mobile terminal B, and since the two mobile terminals are relatively close, the sound will be It will be collected again by the microphone of mobile terminal B and sent to mobile terminal A, and the sound will be continuously amplified and played, which can easily form positive feedback amplification of the sound, thus generating howling sound. Therefore, in the embodiment of the present application, it may first be determined whether there is another mobile terminal that is relatively close to the current mobile terminal during the voice call, and if so, the voice call data in the mobile terminal is required to perform anti-howling processing.

Specifically, in the embodiment of the present application, it may be determined whether the distance between the two mobile terminals is relatively close according to whether the two mobile terminals are connected to the same WiFi hotspot. The advantage of this setting is that in order to save traffic costs, users generally use the way of connecting to WiFi hotspots for voice calls. This feature can be used to quickly and accurately determine whether there is a target mobile terminal, and then determine whether anti-howling processing is required. Exemplarily, the WiFi information may include attribute information of the WiFi hotspot, for example, the attribute information may be the name of the WiFi hotspot or the Media Access Control (MAC) address of the WiFi hotspot, etc., and may also include the WiFi signal strength, etc. It can be understood that, in addition to the current mobile terminal in the voice call group, there may be multiple other mobile terminals, and the WiFi information acquired by other mobile terminals is collectively referred to as the second WiFi information. For different other mobile terminals, the respective second WiFi information Information may be different. Exemplarily, other mobile terminals may forward their own second WiFi information to the current mobile terminal through the server corresponding to the preset application program, and of course other methods may also be used to directly or indirectly send the information to the current mobile terminal. No limit.

Step 103, according to the first WiFi information and the second WiFi information, determine whether there is a target mobile terminal connected to the same WiFi hotspot as the mobile terminal in the voice call group, and if so, then The voice call data in the mobile terminal is subjected to anti-howling processing.

Generally, the signal effective range of WiFi hotspots is limited, generally around 50 meters. If the preset distance value used to measure whether anti-howling processing is required is greater than the effective range of WiFi hotspot signals, it can be determined according to whether there is a second WiFi information The WiFi hotspot attribute information of the second WiFi information is the same as the WiFi hotspot attribute information of the first WiFi information to determine whether anti-howling processing is required. If there is any WiFi hotspot attribute information of the second WiFi information is the same as the WiFi hotspot attribute information of the first WiFi information , it is determined that there is a target mobile terminal in the voice call group, that is to say, when there is another mobile terminal in the voice call group connected to the same WiFi hotspot as the current mobile terminal, the other mobile terminal can be considered as the target mobile terminal. Howling may occur, and anti-howling treatment is required.

The voice call data may include uplink voice call data and/or downlink voice call data, which is not specifically limited in this application. Wherein, the uplink voice call data may include the sound data collected by the microphone of the mobile terminal; the downlink voice call data may be the sound data collected by the server corresponding to the preset application program after receiving the sound data of other mobile terminals in the voice call group, after mixing, etc. For processing the data sent to the mobile terminal, or directly forwarding the data to the mobile terminal, this application does not limit the processing method of the server to process the voice call data. The embodiment of the present application also does not limit the specific manner of anti-howling processing, and a specific implementation manner will be given below as a schematic illustration.

The voice call data processing method provided in the embodiment of the present application detects that the voice call group in the preset application program of the mobile terminal is successfully established, and obtains the first WiFi information connected to the current mobile terminal and the connection information of other mobile terminals in the voice call group. The second WiFi information, according to the first WiFi information and the second WiFi information, judge whether there is a target mobile terminal connected to the same WiFi hotspot with the mobile terminal in the voice call group, and if there is, the voice call data in the mobile terminal is processed Anti-howling treatment. By adopting the above technical solution, after the voice talk group of the preset application program in the mobile terminal is successfully established, when it is detected that there are other mobile terminals in the voice talk group that are closer to the current mobile terminal, the current mobile terminal Anti-howling processing is performed on the voice call data to reduce the inconvenience caused by howling sound to users.

In some embodiments, the obtaining the first WiFi information connected to the mobile terminal and the second WiFi information connected to other mobile terminals in the voice call group includes: obtaining the first WiFi information connected to the mobile terminal; Sending a WiFi information acquisition request to the server corresponding to the preset application program, the WiFi information acquisition request is used to instruct the server to collect second WiFi information of other mobile terminals in the voice call group, and transfer the second WiFi information is returned to the mobile terminal. The advantage of this setting is that each mobile terminal in the voice call group can already communicate through the server corresponding to the preset application program, so there is no need to find other ways to transmit the second WiFi information, saving network resources. In addition, after the mobile terminal successfully obtains the first WiFi information, it notifies other mobile terminals to perform the WiFi information obtaining operation, so as to avoid other mobile terminals from performing the operation due to the failure of the mobile terminal to obtain the WiFi information (for example, the mobile terminal is not connected to any WiFi hotspot). Redundant WiFi information manipulation.

In some embodiments, the WiFi information includes the signal strength of the WiFi hotspot; if it exists, performing anti-howling processing on the voice call data in the mobile terminal, including: if it exists, performing the anti-howling processing according to the first signal Strength and second signal strength, determine the target distance between the mobile terminal and the target mobile terminal; when the target distance is less than the first preset distance threshold, prevent the voice call data in the mobile terminal Howling processing. Exemplarily, the first preset distance threshold may be 10 meters. The advantage of this setting is that it can be more accurately determined whether anti-howling processing is required according to the distance between mobile terminals, and the preset distance value used to measure whether anti-howling processing is required can be set smaller, less than The effective range of the signal of the WiFi hotspot. Generally, the farther the mobile terminal is from the WiFi hotspot, the weaker the obtained WiFi signal is. This rule can be used to estimate the distance between the mobile terminal and the WiFi hotspot according to the signal strength in the WiFi information, and then determine the distance between the two mobile terminals. distance. Assuming that the distance between the current mobile terminal and the WiFi hotspot is L ₁ , and the distance between the target mobile terminal and the WiFi hotspot is L ₂ , since the connection between the current mobile terminal, the target mobile terminal and the WiFi hotspot may not be on a straight line, Therefore, the maximum value of the target distance between the current mobile terminal and the target mobile terminal is L ₁ +L ₂ , and the minimum value is L ₁ -L ₂ . In order to prevent missed judgments, the minimum value can be taken as the actual distance and the first preset The distance threshold is compared, that is, when L ₁ -L ₂ is smaller than the first preset distance threshold, anti-howling processing is performed on the voice call data in the mobile terminal. In addition, in order to more accurately determine the actual distance between the current mobile terminal and the target mobile terminal, the WiFi information may also include a list of WiFi hotspots searched by the mobile terminal and the signal strength of each WiFi hotspot in the list, thereby estimating the distance between the current mobile terminal and the target mobile terminal. The relative orientation between the mobile terminal and the connected WiFi hotspot facilitates more accurate calculation of the actual distance between the current mobile terminal and the target mobile terminal.

In some embodiments, the anti-howling processing of the voice call data in the mobile terminal includes: determining the target strength of the anti-howling processing according to the target distance; wherein, the smaller the target distance, the corresponding target The higher the strength is, the corresponding anti-howling processing is performed on the voice call data in the mobile terminal according to the target strength. The inventor found that the closer the distance between two mobile terminals, the more serious the howling usually occurs, so in the embodiment of the present application, the actual distance between the current mobile terminal and the target mobile terminal (i.e., the target distance) can be determined. Selecting the corresponding anti-howling processing strength (ie target strength) can achieve more targeted anti-howling processing and improve the anti-howling effect.

It can be understood that there may be more than one target mobile terminal. When there are more than two target mobile terminals, there are more than two corresponding target distances. target strength.

In some embodiments, the determining the target strength of the anti-howling processing according to the target distance includes: determining to perform the processing on the uplink voice call data and/or downlink voice call data in the mobile terminal according to the target distance Anti-howling processing; wherein, when the target distance is greater than a second preset distance value, it is determined to perform anti-howling processing on the uplink voice call data in the mobile terminal; when the target distance is greater than a third preset distance value and is less than or equal to the second preset distance value, determine to perform anti-howling processing on the downlink voice call data in the mobile terminal; when the target distance is less than or equal to the third preset distance value and determine to perform anti-howling processing on the uplink voice call data and downlink voice call data in the mobile terminal.

Downlink voice call data generally has a large amount of data, and howling suppression processing is slightly more difficult and time-consuming. Therefore, in the embodiment of the present application, when the target distance is less than the first preset distance value but greater than the second preset distance, It shows that if howling occurs, the degree of howling is not serious, and anti-howling processing can be performed only for uplink voice call data. When the target distance is less than or equal to the second preset distance value, but greater than the third distance value, it means that if howling occurs, the degree of howling will be more serious, and anti-howling processing can be performed on the downlink voice call data to obtain better anti-howling effect. When the target distance is very small, less than or equal to the third preset distance value, it means that if howling occurs, the degree of howling will be very serious, and anti-howling processing can be performed on the downlink voice call data and downlink voice call data at the same time to obtain The best anti-howling effect. In this application, the values of the first preset distance, the second preset distance and the third preset distance are successively reduced, but the specific values are not limited. For example, the first preset distance is 10 meters, and the second preset distance is 10 meters. Let the distance be 5 meters, and the third preset distance is 2 meters.

Exemplarily, when anti-howling processing is performed on the downlink voice call data, howling detection may be performed on the downlink voice call data first, and when it is judged that there is a howling sound, attenuation processing is performed on the howling point, so as to achieve anti-howling called effect.

In some embodiments, the following method can be used to determine whether there is a howling sound in the downlink voice call data:

The first method is to divide the downlink voice call data into blocks; for each data block, use a preset analysis method to determine the suspected howling points existing in the current data block; when there are multiple suspected howling points showing periodic characteristics, When a point group is called, and the energy value corresponding to the suspected howling point shows an upward trend according to the order of the data blocks it belongs to, it is determined that there is a howling sound in the downlink voice call data; wherein, the suspected howling point group is consecutively adjacent The frequency difference in the data block is a suspected howling point within a preset range, and the number of consecutive adjacent data blocks reaches a preset continuous threshold.

In the second method, the downlink voice call data is divided into blocks to obtain M data blocks; the preset analysis method is used to sequentially analyze whether there is a suspected howling point in the current data block, and the data block of the suspected howling point will appear for the first time Determined as the initial data block; starting from the initial data block, taking n data blocks as data segments to be analyzed in turn, using the preset analysis method to analyze the suspected howling points contained in the current data segment, when When the frequency difference between the suspected howling points contained in the N data segments is within the preset range, it is determined that there is a howling sound in the downlink voice call data; wherein, n=2, 3, ..., N; N is less than Or equal to M, greater than or equal to 2; the starting point of each data segment is the same as the starting point of the starting data block, and the starting data block is the first data segment.

Of course, in the embodiment of the present application, other methods may also be used to determine whether there is howling sound in the downlink voice call data, which is not limited in the present application. The following two methods are taken as examples for detailed description.

For the first manner, the block processing of the downlink voice call data may be block processing according to a preset unit length, and the preset unit length may be, for example, 40 milliseconds. Assuming that the preset time length is 1.2 seconds and the preset unit length is 40 milliseconds, it can be divided into 30 data blocks.

The embodiment of the present application does not specifically limit the preset analysis method. For example, the preset analysis method may include: acquiring frequency points to be determined in the high-frequency region whose energy value is higher than a preset energy threshold in the frequency domain, and calculating the energy of a preset number of frequency points around the frequency points to be determined difference value, when the energy difference value is greater than a preset difference threshold, it is determined that the frequency point to be determined is a suspected howling point; the high-frequency region is a frequency range whose frequency is higher than a preset frequency threshold.

Specifically, for the current data block, it may first be transformed from the time domain to the frequency domain, so as to facilitate spectrum analysis. The transformation method is not limited in this embodiment of the present application, and a Fourier transformation method, such as a fast algorithm of discrete Fourier transform (FastFourier Transformation, FFT), may be used. Taking 40ms as an example, the size of 40ms audio data (16bit, 16k sampling rate) is 40*16*16/2=1280 bytes, which is suitable for using 1024 for FFT transformation for spectrum analysis, and the frequency analysis after FFT processing The frequency range is 0～16K/2, the step size is (16K/2)/1024, and the step size is about 8Hz.

In the embodiment of the present application, a preset frequency threshold may be used as a boundary value to divide the high-frequency region and other regions. The preset frequency threshold can be set according to the actual situation, for example, it can be set according to the human voice frequency and the frequency characteristics that are prone to howling sound, for example, it can be 1KHz, 1.5KHz, or 2KHz and so on. For example, the preset frequency threshold is 2KHz, that is, the part greater than 2KHz is a high-frequency region. Generally, the frequency of the howling sound will appear in the high-frequency region, and the sound is relatively loud (that is, the energy value is high). The embodiment of the present application can quickly determine the suspected howling point in a data block according to the distribution characteristics of the energy value.

Exemplarily, the energy value corresponding to each frequency point (referred to as frequency point) in the data block is obtained, and then the frequency point to be determined whose energy value is higher than the preset energy threshold is found from the high-frequency area, and the predicted frequency point around the frequency point to be determined is calculated. Set the energy difference value of the number of frequency points. The preset energy threshold and the preset number can be set according to actual needs, for example, the preset energy threshold can be -10dB, and the preset number can be 8 (4 before and 4 after the frequency point to be determined). Taking the above step size of about 8Hz as an example, assuming that the frequency value of the frequency point to be determined is 3362Hz, then the frequency values of the preset number of frequency points around it are about 3330Hz, 3338Hz, 3346Hz, 3354Hz, 3370Hz, 3378Hz, 3386Hz and 3394Hz . The energy difference value is used to measure the degree of difference between the frequency point to be determined and the surrounding preset number of frequency points. Specifically, it can be the difference between the maximum energy value and the minimum energy value, or the energy variance value or the energy mean square error value. Etc., this application does not limit. The preset difference threshold corresponds to the energy difference value, for example, when the energy difference value is the energy variance value, the preset difference threshold is the preset variance threshold. When the energy difference value is greater than the preset difference threshold, it indicates that the frequency point to be determined is relatively prominent, and it is very likely to be a howling point. Therefore, the frequency point to be determined is determined to be a suspected howling point. This setting can quickly and accurately identify suspected howling points, laying a foundation for improving the efficiency of howling detection.

Exemplarily, there may be multiple frequency points to be determined in one data block, and the application may determine the suspected howling point starting from the frequency point to be determined with the highest corresponding energy.

In addition, the preset analysis method may also include: acquiring the first frequency point with the largest energy value in the high-frequency region and the second frequency point with the largest energy value in the low-frequency region in the frequency domain, when the first frequency point satisfies When the suspected howling condition is preset, it is determined that the first frequency point is a suspected howling point in the current data block, and the preset suspected howling condition includes that the energy value of the first frequency point is greater than a preset energy threshold, And the energy difference between the first frequency point and the second frequency point is greater than a preset difference threshold.

Specifically, for the current data block, it may first be transformed from the time domain to the frequency domain, so as to facilitate spectrum analysis. Similarly, the division frequency can also be preset as a boundary value to divide the high-frequency region and the low-frequency region. The preset division frequency can be set according to the actual situation, for example, it can be set according to the frequency characteristics of the human voice and the frequency that is prone to howling, for example, it can be 1KHz, 1.5KHz, or 2KHz and so on. For example, the preset division frequency is 2KHz, that is, the part greater than 2KHz is a high-frequency region, and the part less than or equal to 2KHz is a low-frequency region.

Exemplarily, the energy value corresponding to each frequency point in the data block is obtained, and then the first frequency point with the largest energy value is found from the high-frequency region, and the second frequency point with the largest energy value is found from the low-frequency region. When the energy value of the point is greater than the preset energy threshold (such as -30dB), and the difference between the energy value of the first frequency point and the energy value of the second frequency point is greater than the preset difference threshold (such as 60), it can be considered as the first The frequency point is the suspected howling point in the current data block. This setting can quickly and accurately identify suspected howling points, laying a foundation for improving the efficiency of howling detection.

Exemplarily, for each data block, the above preset analysis method is used to judge whether there is a suspected howling point, and if there is, record the suspected howling point, and further judge whether the current downlink voice call data contains howling sound.

It is understandable that if there is a suspected howling sound in a certain data block, it cannot be considered that the entire downlink voice call audio contains the howling sound, and it may also be because some special sounds are misidentified as howling sounds, such as objects The ear-piercing sound produced during friction is generally high in frequency and loud, and may be identified as a suspected howling sound, but this sound is generally short and short in duration, and does not belong to howling sound, so it needs to be added further judgment.

In the embodiment of the present application, the distribution characteristics of the suspected howling sounds existing in each data block are analyzed. When there are suspected howling points with small frequency differences in consecutive multiple adjacent data blocks, these suspected howling points may be called a suspected howling point group. That is, the suspected howling point group is a suspected howling point whose frequency difference in consecutive adjacent data blocks is within a preset range, and the number of the consecutive adjacent data blocks reaches a preset continuous threshold. Wherein, the preset continuous thresholds may be determined according to actual conditions, for example, three; the preset range corresponding to the frequency difference may also be determined according to actual conditions, such as 40 Hz. The inventors found that the howling sound generally exhibits a continuous feature in a short period of time and occurs periodically, and the sound gradually becomes louder. Therefore, in the embodiment of the present application, multiple (can be understood as greater than or equal to 2) suspected howling point groups exhibit periodic characteristics, and the energy values corresponding to the suspected howling points show an upward trend in the order of the data blocks they belong to as The judgment condition is used to identify whether there is a howling sound in the current downlink voice call data. If the above conditions are met, it is determined that there is a howling sound, so that the howling sound can be identified quickly and accurately.

Exemplarily, it is assumed that the downlink voice call data is divided into 30 data blocks. For example, if the 15 data blocks 1, 2, 3, 7, 8, 9, 13, 14, 15, 19, 20, 21, 25, 26 and 27 all detect frequencies in (A-40, A For the suspected howling points in the interval of +40), the suspected howling points corresponding to every 3 data blocks become a suspected howling point group, and the 5 suspected howling point groups show periodic characteristics, and the energy corresponding to the suspected howling points The values increase sequentially, therefore, it is determined that the downlink voice call data contains howling tones. As another example, if only the suspected howling points with frequencies in the interval (B-40, B+40) are detected in the 1st, 2nd and 3rd data blocks, the suspected howling points corresponding to these 3 data blocks become A suspected howling point group exists, but only this one exists, and does not show periodic characteristics. Therefore, it can be determined that the downlink voice call data does not contain howling tones.

For the second method, the block processing method and the preset analysis method can refer to the relevant content in the first method, which will not be repeated in the embodiment of the present application.

Specifically, the above-mentioned preset analysis method is used to analyze whether there is a suspected howling point in the first data block. If it exists, the suspected howling point appears for the first time, and the first data block is determined as the initial data block; if it does not exist , the next data block of the current data block is used as a new current data block, and the above-mentioned preset analysis method is used to analyze whether there is a suspected howling point in the new current data block. By analogy, until the data block where the suspected howling point appears for the first time is determined as the initial data block, if there is no suspected howling point in the M data blocks, it can be considered that the current downlink voice call data does not contain howling sound.

Taking the above block method as an example, M=30, 2≤N≤30. When performing spectrum analysis, the length of the data to be analyzed will have an impact on the analysis results, because when there are fewer data points, the accuracy may not be too accurate. Therefore, using data with a larger length to analyze again is equivalent to a modified process. , can more accurately determine whether it is howling. The application does not limit the specific value of N. Suppose N=4, and the length of a data block is 40ms, so the time range of the initial data block can be recorded as 0 to 40ms. Since the initial data block has been analyzed, and As the first data segment, starting from n=2, it is the second data segment, the time range of the second data segment can be recorded as 0 to 80ms, and so on, the time range of the third data segment can be recorded as 0 to 120ms, the time range of the third data segment can be recorded as 0 to 160ms.

Exemplarily, the preset range can be set according to actual conditions, for example, it can be 40 Hz (as the above example, it can be considered as equivalent to 5 steps). Assuming that the frequencies of the suspected howling points analyzed by the four data segments are A, B, C and D respectively, and the differences between A, B, C and D are all within 40Hz, then it can be determined that in the downlink voice call data There is howling sound.

Optionally, if the frequency difference between the suspected howling points contained in the current data segment and the suspected howling points contained in the previous data segment is not within the preset range, then the next data from the current data segment The block starts to acquire the downlink voice call data of the preset time length, and repeatedly executes related operations of dividing the downlink voice call data into blocks. The advantage of this setting is that when the frequency difference between the suspected howling points contained in any two data segments is large, it can indicate that the previous suspected howling points may not be real howling points, and it is necessary to continue detection instead of The subsequent data segment is used for detection of suspected howling points, which saves power consumption and improves the efficiency and accuracy of howling sound detection. For example, when the difference between C and A or B exceeds 40 Hz, start from 120 ms to reacquire the downlink voice call data of the preset time length in the mobile terminal, and perform block processing on the downlink voice call data , to obtain M data blocks, and then determine a new initial data block, and continue to use the above method to determine whether there is a howling sound in the downlink voice call data.

After determining that howling sounds exist in the downlink voice call data, the method further includes: determining the suspected howling point as a howling point; performing howling suppression processing on the downlink voice call data according to the howling point. After it is determined that there is howling sound in the downlink voice call data, it means that the previously identified suspected howling point that satisfies the howling sound determination condition is indeed a howling point, then it is necessary to perform howling suppression processing on the downlink voice according to the howling point, Prevent the howling sound from being played out from the speaker or earpiece, affecting the user's use. Further, after the howling suppression processing is performed, the downlink voice call data after the howling suppression processing is played through the loudspeaker or the earpiece.

In some embodiments, performing howling suppression processing on the downlink voice call data according to the howling point includes: selecting a preset number of frequencies corresponding to howling points with higher energy values as target frequencies, Perform attenuation processing on the audio signal corresponding to the target frequency in the downlink voice call data. The preset number can be set freely, such as 1, 3, or even more, and can also be dynamically determined according to the number of howling points. The howling points can be sorted according to the order of energy value from high to low, select the first preset number of howling points, and determine the frequency of the selected howling points as the target frequency. The higher the energy value, the louder the howling sound and the higher the impact on the user. The advantage of this setting is that it can more specifically suppress howling at frequencies with higher energy values and improve the howling suppression efficiency. , to ensure the timeliness of voice calls.

In some embodiments, performing howling suppression processing on the downlink voice call data according to the howling points may also include: performing audio signals corresponding to frequencies of all howling points in the downlink voice call data Perform attenuation. The advantage of this setting is that the howling suppression can be performed on all howling points in an all-round way to prevent the howling sound from playing.

Exemplarily, a notch filter may be used to attenuate the audio signal corresponding to the frequency of the howling point that needs to be suppressed (ie, the target frequency). The notch filter can quickly attenuate the input signal at a certain frequency point to achieve the filtering effect of blocking the passage of the frequency signal. The application does not limit the type and specific parameter values of the notch filter. Generally, the target frequency is used as the center frequency of the notch filter, and parameters such as processing bandwidth and gain of the notch filter can be set according to actual requirements.

Exemplarily, when performing anti-howling processing on the uplink voice call data, the sound data collected by the mobile terminal can be obtained; the sound data can be separated from the human voice and the background sound; the separated background sound can be weakened; After the weakened background sound and the separated human voice are mixed, the processed uplink voice call data is sent to the server corresponding to the preset application program. The advantage of this setting is that it can effectively weaken the howling caused by the background sound. Exemplarily, when there is a microphone array (the number of microphones is greater than or equal to 2) in the mobile terminal, the position of the sound source can be determined, and the sound that is far away from the mobile terminal (such as greater than 1 meter) can be filtered out as the background sound according to the position of the sound source Or, the voiceprint information of the mobile terminal user can be obtained in advance, and the voice of the user's speech can be extracted from the voice data according to the voiceprint information as the human voice, and the remaining voice can be used as the background sound. Exemplarily, weakening the separated background sound may be reducing the sound of the background sound by adjusting a gain, or filtering the background sound. After the background sound is weakened, the volume is reduced, which destroys the condition that the sound is getting louder, and then effectively weakens the howling caused by the background sound.

In addition, the anti-howling processing for the uplink voice call data can also be performed according to the howling detection result of the downlink voice call data. If there is a howling sound in the downlink voice call data, when the downlink voice call data is played through the speaker or earpiece of the mobile terminal, the howling sound will be played, and the user can hear it. In addition, the microphone of the mobile terminal can also collect the howling sound , that is, the uplink voice call data of the mobile terminal also includes howling tones. In the embodiment of the present application, anti-howling processing is performed on the uplink voice call data to prevent howling sounds from being transmitted to the network again and received by other mobile terminals, thereby breaking the condition that howling sounds are getting louder, and then achieving anti-howling purpose of calling. Specifically, a preset notch filter can be used to perform anti-howling processing on the uplink voice call data in the mobile terminal, wherein the center frequency of the preset notch filter is the frequency corresponding to the howling point in the downlink voice call data .

Optionally, for the anti-howling processing of the uplink voice call data, it may also be: acquire the first uplink data to be uploaded currently, and the cached second uplink data uploaded at the last moment, and determine whether the first uplink data is related to Whether the similarity of the second uplink data is higher than a preset similarity threshold, and if so, perform weakening processing on the first uplink data. The advantage of this setting is that it can quickly determine whether attenuation processing is required, and improve the anti-howling processing efficiency. Wherein, performing weakening processing on the first uplink data may include: weakening or filtering out audio data in the first uplink data having the same characteristics as the second uplink data. Attenuation here may include reducing sound energy. Further, the first uplink data and the second uplink data may be simulated and superimposed, and it is judged whether the superimposed data contains howling features, and if so, weakening processing is performed on the first uplink data. The characteristics of howling may include energy concentration, periodicity, frequency higher than a preset frequency threshold, and the like. It is also possible to judge whether the superimposed data includes the howling feature according to the above method of performing howling detection on the downlink voice call data, which is not limited in this embodiment of the present application.

In some embodiments, performing corresponding anti-howling processing on the voice call data in the mobile terminal according to the target strength includes: acquiring downlink voice call data of a preset time length in the mobile terminal; determining the The howling point in the downlink voice call data; the voice call data in the mobile terminal is subjected to howling suppression processing by using a preset notch filter; wherein, the center frequency of the preset notch filter is the howling The frequency corresponding to the point, the processing width and gain value are determined by the target intensity, the higher the target intensity, the wider the corresponding processing width or the smaller the corresponding gain value.

Howling suppression processing is performed on the voice call data by using a preset notch filter, where the voice call data may include uplink voice call data and/or downlink voice call data, which is not limited in this embodiment of the present application. The advantage of this setting is that the processing width or gain value of the preset notch filter can be set in a targeted manner according to different target distances, so as to achieve different degrees of howling suppression processing.

Fig. 2 is a schematic diagram of an original howling speech spectrum analysis provided by the embodiment of the present application, which shows a howling segment intercepted from an audio containing howling sound, and the energy value corresponding to 3362 Hz in the audio The maximum is -6.64dB. If it is played out, the sound will be very loud, and howling suppression processing is required.

FIG. 3 is a schematic diagram of a notch filter provided by an embodiment of the present application. When performing howling suppression processing on downlink voice call data, the center frequency of the preset notch filter is the frequency corresponding to the howling point, such as 3362 Hz in Figure 2, and the corresponding processing width can be determined according to the target strength. The processing width is the range that needs to be processed around the center frequency. Assuming that the processing width corresponding to -6.64dB is 50Hz, the range that needs to be processed is 3312Hz to 3412Hz, that is, the audio signal in this range is processed. The advantage of determining the processing width according to the target intensity is that frequency points with high energy may appear near the howling point, and expanding the processing range can obtain better suppression effect. In addition, as shown in Figure 2, a gain value is set in the notch filter, represented by g. In the figure, gmin represents the minimum value of the gain value, and the value range is generally 0 to 1. The larger the value of g, the greater the attenuation degree. Small. Therefore, in this application, the gain value can be determined according to the target intensity. The higher the target intensity, the smaller the gain value, so that the higher the energy attenuation degree in the processing range, the higher the suppression degree of howling sound.

Fig. 4 is a schematic diagram of howling speech spectrum analysis provided by the embodiment of the present application after being processed by a notch filter. As shown in Fig. Attenuation, so as to suppress the howling sound.

FIG. 5 is a schematic flow diagram of another voice call data processing method provided in the embodiment of the present application. Taking the preset application program as an online game application program as an example, the method includes the following steps:

Step 501, the voice call group in the game application is established successfully.

Exemplarily, take a team battle game as an example, such as Glory of Kings, each team has 5 players, and the red and blue teams play against each other. The 5 players of each team need to communicate and discuss the battle strategy. Therefore, many players It will choose to enable the voice call function within the team. For example, after a player applies to enable the voice call function within the team, the voice call group is successfully established. After starting the official voice call, any one of the 5 players in the same team can hear the voices of the other 4 players. In the embodiment of the present application, after the voice call group is established successfully, the voice call will not be started immediately, but the distance test will be performed first.

Step 502, acquiring first WiFi information connected by the mobile terminal and second WiFi information connected by other mobile terminals in the voice call group.

Wherein, the WiFi information includes the MAC address (referred to as address) of the WiFi hotspot and the signal strength of the WiFi hotspot.

Step 503, according to the first WiFi address and the second WiFi address, determine whether there is a target mobile terminal connected to the same WiFi hotspot as the mobile terminal in the voice call group, if so, perform step 504; otherwise, perform step 510.

If among 5 players, there are two players whose mobile terminals are relatively close to each other, such as two good friends playing together at home, and at the same time setting the mobile terminal to the external playback mode, it is very easy to cause howling. Therefore, in the embodiment of the present application, it may first be determined whether there are other mobile terminals in the voice call group that are closer to the current mobile terminal, and if so, anti-howling processing needs to be performed.

Step 504: Determine a target distance D between the mobile terminal and the target mobile terminal according to the first signal strength and the second signal strength.

Exemplarily, if there are at least two target mobile terminals, then the target distance with the smallest value may be taken as D for subsequent judgments.

Step 505, judge whether D is smaller than X, if yes, execute step 506; otherwise, execute step 510.

Step 506, determine the size relationship between D, Y and Z; when D>Y, execute step 507; when Z<D≤Y, execute step 508; when D≤Z, execute step 509.

Wherein, the numerical values of X, Y and Z decrease successively.

Step 507, start the voice call, and perform anti-howling processing on the uplink voice call data in the mobile terminal.

Step 508, start the voice call, and perform anti-howling processing on the downlink voice call data in the mobile terminal.

Step 509: Start a voice call, and perform anti-howling processing on the uplink voice call data and downlink voice call data in the mobile terminal.

Step 510: Start a voice call without performing anti-howling processing.

In the embodiment of the present application, after the voice call group in the game application is successfully established, the voice call will not be started immediately, but firstly, by obtaining WiFi information, it is determined whether there are other mobile phones in the voice call group that are closer to the current mobile terminal. The terminal, if it exists, chooses to perform anti-howling processing on the uplink and/or downlink voice call data according to the specific distance value, and performs anti-howling processing on the corresponding voice call data after starting the voice call, weakening the howling sound to the The interference generated by the user's game process reduces the pain points of gamers and makes the functions of mobile terminals more perfect.

Fig. 6 is a schematic flow chart of another voice call data processing method provided by the embodiment of the present application, still taking an online game application as an example, the method includes:

Step 601, the voice call group in the game application is established successfully.

Step 602, acquiring the first WiFi information connected by the mobile terminal and the second WiFi information connected by other mobile terminals in the voice call group.

Wherein, the WiFi information includes the MAC address (referred to as address) of the WiFi hotspot and the signal strength of the WiFi hotspot.

Step 603, according to the first WiFi address and the second WiFi address, determine whether there is a target mobile terminal connected to the same WiFi hotspot as the mobile terminal in the voice call group, if so, perform step 604; otherwise, perform step 608.

Step 604: Determine a target distance F between the mobile terminal and the target mobile terminal according to the first signal strength and the second signal strength.

Exemplarily, if there are at least two target mobile terminals, then the target distance with the smallest value may be selected as F for subsequent judgment.

Step 605, judge whether F is smaller than E, if so, execute step 606; otherwise, execute step 608.

Step 606: Determine the processing width and gain value of the preset notch filter according to F.

Wherein, the smaller the F value is, the larger the corresponding processing width is, and the smaller the gain value is.

Step 607: Start the voice call, and perform howling suppression processing on the voice call data in the mobile terminal by using a preset notch filter.

Exemplarily, the howling detection is performed on the downlink voice call data to determine the howling point, and the center frequency of the preset notch filter is the frequency corresponding to the howling point.

Step 608: Start a voice call without performing anti-howling processing.

In the embodiment of the present application, after the voice call group in the game application is successfully established, the voice call will not be started immediately, but firstly, by obtaining WiFi information, it is determined whether there are other mobile phones in the voice call group that are closer to the current mobile terminal. The terminal, if it exists, sets the parameters of the preset notch filter to be used for anti-howling processing according to the specific distance value, and uses the preset notch filter whose parameters have been set to the corresponding Anti-howling processing is performed on the voice call data, which weakens the interference of howling sound on the user's game process, reduces the pain points of game players, and makes the functions of the mobile terminal more perfect.

Fig. 7 is a structural block diagram of a voice call data processing device provided by the embodiment of the present application. The device can be implemented by software and/or hardware, and is generally integrated in a mobile terminal, and can process voice call data by executing a voice call data processing method. Perform anti-howling treatment. As shown in Figure 7, the device includes:

Talkgroup detection module 701, used to detect whether the voice talkgroup in the preset application program of the mobile terminal is established successfully;

The WiFi information acquiring module 702 is configured to acquire the first WiFi information connected by the mobile terminal and the first WiFi information connected by other mobile terminals in the voice talk group after detecting that the voice talk group in the preset application program of the mobile terminal is successfully established. Second WiFi information;

A judging module 703, configured to judge whether there is a target mobile terminal connected to the same WiFi hotspot as the mobile terminal in the voice call group according to the first WiFi information and the second WiFi information;

The anti-howling processing module 704 is configured to perform anti-howling processing on the voice call data in the mobile terminal when the judging result of the judging module is yes.

The voice call data processing device provided in the embodiment of the present application can detect that there are other mobile terminals in the voice call group that are closer to the current mobile terminal after the voice call group of the preset application program in the mobile terminal is successfully established. , timely perform anti-howling processing on the voice call data of the current mobile terminal, and reduce the inconvenience caused by the howling sound to the user.

Optionally, the acquiring the first WiFi information connected by the mobile terminal and the second WiFi information connected by other mobile terminals in the voice call group includes:

Obtaining first WiFi information connected by the mobile terminal;

Sending a WiFi information acquisition request to the server corresponding to the preset application program, the WiFi information acquisition request is used to instruct the server to collect second WiFi information of other mobile terminals in the voice call group, and transfer the second WiFi information is returned to the mobile terminal.

Optionally, the WiFi information includes the signal strength of the WiFi hotspot;

When the judging result of the judging module is that it exists, performing anti-howling processing on the voice call data in the mobile terminal includes:

When the determination result of the determination module is existence, according to the first signal strength and the second signal strength, determine the target distance between the mobile terminal and the target mobile terminal;

When the target distance is less than a first preset distance threshold, anti-howling processing is performed on the voice call data in the mobile terminal.

Optionally, performing anti-howling processing on the voice call data in the mobile terminal includes:

Determine the target strength of the anti-howling processing according to the target distance; wherein, the smaller the target distance, the greater the corresponding target strength;

Perform corresponding anti-howling processing on the voice call data in the mobile terminal according to the target intensity.

Optionally, the determining the target strength of the anti-howling treatment according to the target distance includes:

According to the target distance, determine to perform anti-howling processing on the uplink voice call data and/or downlink voice call data in the mobile terminal;

Wherein, when the target distance is greater than a second preset distance value, it is determined to perform anti-howling processing on the uplink voice call data in the mobile terminal;

When the target distance is greater than a third preset distance value and less than or equal to the second preset distance value, it is determined to perform anti-howling processing on the downlink voice call data in the mobile terminal;

When the target distance is less than or equal to the third preset distance value, it is determined to perform anti-howling processing on the uplink voice call data and downlink voice call data in the mobile terminal.

Optionally, performing corresponding anti-howling processing on the voice call data in the mobile terminal according to the target intensity includes:

Acquiring downlink voice call data of a preset time length in the mobile terminal;

Determining howling points in the downlink voice call data;

Using a preset notch filter to perform howling suppression processing on the voice call data in the mobile terminal; wherein, the center frequency of the preset notch filter is the frequency corresponding to the howling point, and the processing width and gain value Determined by the target intensity, the higher the target intensity, the wider the corresponding processing width or the smaller the corresponding gain value.

Optionally, the preset application program is an online game application program.

The embodiment of the present application also provides a storage medium containing computer-executable instructions, the computer-executable instructions are used to execute a voice call data processing method when executed by a computer processor, the method comprising:

It is detected that the voice talk group in the preset application program of the mobile terminal is successfully established;

Obtaining the first WiFi information connected by the mobile terminal and the second WiFi information connected by other mobile terminals in the voice call group;

According to the first WiFi information and the second WiFi information, it is judged whether there is a target mobile terminal connected to the same WiFi hotspot as the mobile terminal in the voice call group, and if there is a target mobile terminal in the mobile terminal Anti-howling processing for voice call data.

storage medium - any of various types of memory devices or storage devices. The term "storage medium" is intended to include: installation media, such as CD-ROMs, floppy disks, or tape drives; computer system memory or random access memory, such as DRAM, DDRRAM, SRAM, EDORAM, Rambus RAM, etc.; Volatile memory, such as flash memory, magnetic media (eg hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. Also, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network such as the Internet. The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations, such as in different computer systems connected by a network. The storage medium may store program instructions (eg embodied as computer programs) executable by one or more processors.

Certainly, a storage medium containing computer-executable instructions provided in the embodiments of the present application, the computer-executable instructions are not limited to the above-mentioned voice call data processing operations, and can also execute the voice call provided in any embodiment of the present application. Relevant operations in data processing methods.

An embodiment of the present application provides a mobile terminal, in which the device for processing voice call data provided in the embodiment of the present application can be integrated. FIG. 8 is a schematic structural diagram of a mobile terminal provided by an embodiment of the present application. The mobile terminal 800 may include: a memory 801, a processor 802, and a computer program stored on the memory 801 and operable on the processor 802. When the processor 802 executes the computer program, it realizes the voice as described in the embodiment of the present application. Method for processing call data.

The mobile terminal provided by the embodiment of the present application can timely respond to the current mobile terminal when it detects that there are other mobile terminals in the voice talk group that are close to the current mobile terminal after the voice call group of the preset application program in the mobile terminal is successfully established. Anti-howling processing is performed on the voice call data of the mobile terminal to reduce the inconvenience caused by the howling sound to the user.

FIG. 9 is a schematic structural diagram of another mobile terminal provided by an embodiment of the present application. The mobile terminal may include: a casing (not shown in the figure), a memory 901, and a central processing unit (central processing unit, CPU) 902 (also Said processor, hereinafter referred to as CPU), circuit board (not shown in the figure) and power supply circuit (not shown in the figure). The circuit board is placed inside the space surrounded by the housing; the CPU902 and the memory 901 are arranged on the circuit board; the power supply circuit is used to supply power to each circuit or device of the mobile terminal The memory 901 is used to store executable program codes; the CPU902 executes a computer program corresponding to the executable program codes by reading the executable program codes stored in the memory 901, to achieve the following steps:

It is detected that the voice talk group in the preset application program of the mobile terminal is successfully established;

Obtaining the first WiFi information connected by the mobile terminal and the second WiFi information connected by other mobile terminals in the voice call group;

According to the first WiFi information and the second WiFi information, it is judged whether there is a target mobile terminal connected to the same WiFi hotspot as the mobile terminal in the voice call group, and if there is a target mobile terminal in the mobile terminal Anti-howling processing for voice call data.

The mobile terminal also includes: peripheral interface 903, RF (Radio Frequency, radio frequency) circuit 905, audio circuit 906, speaker 911, power management chip 908, input/output (I/O) subsystem 909, other input/control device 910 , touch screen 912 , other input/control devices 910 , and external ports 904 , these components communicate via one or more communication buses or signal lines 907 .

It should be understood that the illustrated mobile terminal 900 is only an example of a mobile terminal, and the mobile terminal 900 may have more or fewer components than those shown in the figure, and two or more components may be combined, Or can have a different component configuration. The various components shown in the figures may be implemented in hardware, software, or a combination of hardware and software including one or more signal processing and/or application specific integrated circuits.

The mobile terminal used for voice call data processing provided in this embodiment will be described in detail below, and the mobile terminal is taken as an example.

Memory 901, the memory 901 can be accessed by the CPU 902, the peripheral interface 903, etc., the memory 901 can include a high-speed random access memory, and can also include a non-volatile memory, such as one or more disk storage devices, flash memory devices , or other volatile solid-state storage devices.

Peripheral interface 903 , which can connect the input and output peripherals of the device to CPU 902 and memory 901 .

The I/O subsystem 909 , the I/O subsystem 909 can connect input and output peripherals on the device, such as a touch screen 912 and other input/control devices 910 , to the peripheral interface 903 . The I/O subsystem 909 may include a display controller 9091 and one or more input controllers 9092 for controlling other input/control devices 910 . Among them, one or more input controllers 9092 receive electrical signals from or send electrical signals to other input/control devices 910, which may include physical buttons (push buttons, rocker buttons, etc. ), dials, slide switches, joysticks, click wheels. It is worth noting that the input controller 9092 can be connected to any of the following: a keyboard, an infrared port, a USB interface, and a pointing device such as a mouse.

A touch screen 912, the touch screen 912 is an input interface and an output interface between the user's mobile terminal and the user, and displays visual output to the user, and the visual output may include graphics, text, icons, videos, and the like.

The display controller 9091 in the I/O subsystem 909 receives electrical signals from the touch screen 912 or sends electrical signals to the touch screen 912 . The touch screen 912 detects the contact on the touch screen, and the display controller 9091 converts the detected contact into an interaction with the user interface object displayed on the touch screen 912, that is, realizes human-computer interaction, and the user interface object displayed on the touch screen 912 can be a running Icons for games, icons for networking to appropriate networks, etc. It is worth noting that the device may also include an optical mouse, which is a touch-sensitive surface that does not display visual output, or that is an extension of a touch-sensitive surface formed by a touch screen.

The RF circuit 905 is mainly used to establish communication between the mobile phone and the wireless network (that is, the network side), and realize data reception and transmission between the mobile phone and the wireless network. Such as sending and receiving short messages, e-mails, etc. Specifically, the RF circuit 905 receives and sends RF signals, which are also called electromagnetic signals, and the RF circuit 905 converts electrical signals into electromagnetic signals or converts electromagnetic signals into electrical signals, and communicates with communication networks and other devices through the electromagnetic signals to communicate. RF circuitry 905 may include known circuitry for performing these functions including, but not limited to, an antenna system, an RF transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a CODEC ( COder-DECoder, Codec) Chipset, Subscriber Identity Module (Subscriber Identity Module, SIM) and so on.

The audio circuit 906 is mainly used to receive audio data from the peripheral interface 903 , convert the audio data into electrical signals, and send the electrical signals to the speaker 911 .

The speaker 911 is used to restore the voice signal received by the mobile phone from the wireless network through the RF circuit 905 into sound and play the sound to the user.

The power management chip 908 is used for power supply and power management for the hardware connected to the CPU 902 , the I/O subsystem and the peripheral interface.

The voice call data processing device, storage medium, and mobile terminal provided in the above embodiments can execute the voice call data processing method provided in any embodiment of the present application, and have corresponding functional modules and beneficial effects for executing the method. For technical details not exhaustively described in the foregoing embodiments, reference may be made to the method for processing voice call data provided in any embodiment of the present application.

Note that the above are only preferred embodiments and technical principles used in this application. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present application. Therefore, although the present application has been described in detail through the above embodiments, the present application is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present application, and the present application The scope is determined by the scope of the appended claims.

Claims (10)

1. a kind of voice communication data processing method, which is characterized in that including：

Detect that the voice communication group in the default application program of mobile terminal is successfully established；

Obtain what other mobile terminals in the first WiFi information and the voice communication group that the mobile terminal connects connected 2nd WiFi information；

According to the first WiFi information and the 2nd WiFi information, judge in the voice communication group with the presence or absence of with it is described Mobile terminal is connected to the destination mobile terminal of the same Wi-Fi hotspot, and if it exists, then logical to the voice in the mobile terminal Words data carry out anti-processing of uttering long and high-pitched sounds.

2. according to the method described in claim 1, it is characterized in that, the first WiFi letters for obtaining the mobile terminal connection The 2nd WiFi information that other mobile terminals connect in breath and the voice communication group, including：

Obtain the first WiFi information of the mobile terminal connection；

WiFi information acquisition requests are sent to the corresponding server of the default application program, the WiFi information acquisition requests are used In indicating that the server collects the 2nd WiFi information of other mobile terminals in the voice communication group, and by described second WiFi information is back to the mobile terminal.

3. according to the method described in claim 1, it is characterized in that, the signal comprising Wi-Fi hotspot is strong in the WiFi information Degree；

If it is described in the presence of, anti-processing of uttering long and high-pitched sounds is carried out to the voice communication data in the mobile terminal, including：

If in the presence of according to the first signal strength and second signal intensity, determining the mobile terminal with target movement eventually Target range between end；

When the target range is less than the first pre-determined distance threshold value, the voice communication data in the mobile terminal are prevented It utters long and high-pitched sounds processing.

4. according to the method described in claim 3, it is characterized in that, the voice communication data in the mobile terminal into The anti-processing of uttering long and high-pitched sounds of row, including：

The target strength of anti-processing of uttering long and high-pitched sounds is determined according to the target range；Wherein, target range is smaller, corresponding target strength It is bigger；

Corresponding anti-processing of uttering long and high-pitched sounds is carried out to the voice communication data in the mobile terminal according to the target strength.

5. according to the method described in claim 4, it is characterized in that, described determine anti-processing of uttering long and high-pitched sounds according to the target range Target strength, including：

According to the target range, determining ascending voice communicating data and/or downlink voice in the mobile terminal is conversed Data carry out anti-processing of uttering long and high-pitched sounds；

Wherein, it when the target range is more than the second pre-determined distance value, determines logical to the ascending voice in the mobile terminal Words data carry out anti-processing of uttering long and high-pitched sounds；

When the target range is more than third pre-determined distance value and is less than or equal to the second pre-determined distance value, determine to institute It states the downlink voice communicating data in mobile terminal and carries out anti-processing of uttering long and high-pitched sounds；

When the target range is less than or equal to the third pre-determined distance value, determine to the uplink language in the mobile terminal Sound communicating data and downlink voice communicating data carry out anti-processing of uttering long and high-pitched sounds.

6. according to the method described in claim 4, it is characterized in that, it is described according to the target strength in the mobile terminal Voice communication data carry out corresponding anti-processing of uttering long and high-pitched sounds, including：

Obtain the downlink voice communicating data of the predetermined time period in mobile terminal；

Determine uttering long and high-pitched sounds a little in the downlink voice communicating data；

Chauvent's criterion processing is carried out to the voice communication data in the mobile terminal using default notch filter；Wherein, institute The centre frequency for stating default trapper is a little corresponding frequency of uttering long and high-pitched sounds, and handles width and yield value is true by the target strength Fixed, the target strength is higher, and corresponding processing width is wider or corresponding yield value is smaller.

7. according to any methods of claim 1-6, which is characterized in that the default application program is online game application Program.

8. a kind of voice communication data processing equipment, which is characterized in that including：

Whether phone group's detection module, the voice communication group in default application program for detecting mobile terminal are successfully established；

WiFi data obtaining modules are successfully established for the voice communication group in the default application program for detecting mobile terminal Afterwards, obtain mobile terminal connection the first WiFi information and the voice communication group in other mobile terminals connect the Two WiFi information；

Judgment module, for according to the first WiFi information and the 2nd WiFi information, judging in the voice communication group With the presence or absence of the destination mobile terminal for being connected to the same Wi-Fi hotspot with the mobile terminal；

Anti- processing module of uttering long and high-pitched sounds, in the presence of the judging result of the judgment module is, to the language in the mobile terminal Sound communicating data carries out anti-processing of uttering long and high-pitched sounds.

9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor The voice communication data processing method as described in any in claim 1-7 is realized when row.

10. a kind of mobile terminal, which is characterized in that including memory, processor and storage are on a memory and can be in processor The computer program of operation, the processor realize the language as described in claim 1-7 is any when executing the computer program Sound communicating data processing method.