CN118524326A - Business earphone control method and system and business earphone - Google Patents
Business earphone control method and system and business earphone Download PDFInfo
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Abstract
The invention relates to the technical field of earphone control, in particular to a business earphone control method, a business earphone control system and a business earphone, which comprise the following steps: based on the network condition monitored in real time, recording network bandwidth data in each minute, extracting a bandwidth fluctuation mode by adopting a sliding window method, analyzing the bandwidth fluctuation trend, detecting and eliminating data noise according to abnormal points, and generating a bandwidth fluctuation model. According to the invention, the coding bit rate is dynamically adjusted, the future network state is predicted by using the long-short-period memory network, so that high-quality audio experience can be still provided when the network fluctuates, the continuity and stability of audio playing are enhanced, the output can be adjusted to adapt to user preference by real-time tone quality optimization record, the user experience is improved, the tone quality problem caused by unstable network is effectively solved by prediction and self-adaptive adjustment, the method is suitable for a fast-paced business environment, and the smoothness and efficiency of communication are ensured.
Description
Technical Field
The invention relates to the technical field of earphone control, in particular to a business earphone control method, a business earphone control system and a business earphone.
Background
The technical field of earphone control relates to development and improvement of a control mechanism of an earphone, so that a user can more effectively and conveniently manage hearing experience, including functions of playing, pausing, volume adjustment, answering a call and the like through physical buttons, a touch panel and sound commands, along with popularization of intelligent equipment, the earphone control technology also comprises more characteristics, such as intelligent assistant integration, environmental noise control, automatic audio adjustment and the like, and in addition, the earphone control technology also relates to a connection technology between the earphone and the equipment, such as Bluetooth or Wi-Fi, and the capability of personalized setting of earphone functions through application programs.
The control method of the business earphone refers to earphone operation and control strategies specifically designed for the business environment, in the business environment, the earphone is required to provide clear tone quality and effective noise suppression, and a simplified control mode is required to cope with a rapid work rhythm, and the control method comprises the steps of rapidly answering a call through a sound command, adjusting the volume of a conference call or activating a specific communication mode.
The prior art cannot adapt rapidly when facing to complex network condition changes, audio interruption or quality degradation is caused, conversation and listening experience are affected, when an important remote business conference is carried out, due to the lack of effective network bandwidth prediction and tone quality automatic adjustment mechanisms, the traditional method cannot ensure continuous high-quality audio output, communication efficiency is reduced, dynamic data analysis and prediction models cannot be fully utilized in the prior art, and obvious short plates exist in the aspects of real-time tone quality adjustment and user experience.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a business earphone control method, a system and a business earphone.
In order to achieve the above purpose, the present invention adopts the following technical scheme: a business earphone control method comprises the following steps:
S1: based on the network condition monitored in real time, recording network bandwidth data in each minute, extracting a bandwidth fluctuation mode by adopting a sliding window method, analyzing the bandwidth fluctuation trend, detecting and removing data noise according to abnormal points, and generating a bandwidth fluctuation model;
s2: based on the bandwidth fluctuation model, an average bit rate ABR algorithm is adopted, the gap between the current network bandwidth and the audio quality requirement is calculated, the matched coding bit rate is selected and set, and the coding parameters are dynamically adjusted according to the network condition, so that coding parameter configuration is generated;
s3: based on the coding parameter configuration, dynamically adjusting the size of a buffer zone of the audio stream by using a buffer zone manager, analyzing network delay and bandwidth stability, matching to the current network condition, and generating buffer zone dynamic setting;
S4: based on the dynamic setting of the buffer zone, predicting the bandwidth change of the future short-term network by using a long-term and short-term memory network, adjusting the audio bit rate of the earphone according to the prediction result, matching the expected network fluctuation, and generating a bandwidth prediction adaptation result;
s5: based on the bandwidth prediction adaptation result, measuring the distortion degree and the signal-to-noise ratio of the earphone audio signal, carrying out data analysis, evaluating the tone quality loss, carrying out signal optimization processing, and generating a tone quality optimization record;
s6: and adjusting output setting of the earphone based on the tone quality optimization record, including modifying equalizer setting and audio processing parameters, performing user preference matching, refining audio output parameters, and generating an audio output optimization result.
As a further scheme of the invention, the bandwidth fluctuation model comprises a fluctuation index, a stability scoring result and a peak-valley analysis result, the dynamic setting of the buffer zone comprises a sensitivity adjustment result, a stability index and a response speed, the bandwidth prediction adaptation result comprises prediction accuracy information and a bit rate adjustment result, the tone quality optimization record comprises signal integrity and an earphone adjustment effect, and the audio output optimization result comprises output stability, an adjustment range and user satisfaction.
As a further scheme of the present invention, based on the bandwidth fluctuation model, an average bit rate ABR algorithm is adopted to calculate the gap between the current network bandwidth and the audio quality demand, select and set the matched coding bit rate, and dynamically adjust the coding parameters according to the network condition, and the step of generating the coding parameter configuration specifically comprises:
S201: based on the bandwidth fluctuation model, adopting an average bit rate ABR algorithm to analyze the matching degree between the current network bandwidth and the audio quality demand, and selecting the coding bit rate matched with the current bandwidth and the audio quality to generate a preliminary parameter table;
S202: based on the preliminary parameter table, according to the network bandwidth real-time data, adjusting the coding bit rate and the associated coding parameters, matching the real-time change of the network speed, and generating a parameter optimization log;
s203: based on the parameter optimization log, continuously monitoring the audio transmission efficiency and quality, adjusting the coding parameters of the audio output according to real-time feedback, matching the current network condition, and generating coding parameter configuration.
As a further aspect of the present invention, the average bit rate ABR algorithm is as follows:
；
obtaining an optimized coding bit rate Wherein, the method comprises the steps of, wherein,Is time ofThe bandwidth of the network within the network,In order to analyze the time window of the time window,Is time ofIs used to determine the bandwidth weight of (1),In order to adjust the coefficient of the coefficient,In order to attach to the network condition factors,For the number of network condition factors,Is a time interval.
As a further scheme of the present invention, based on the encoding parameter configuration, the buffer manager is utilized to dynamically adjust the size of the buffer of the audio stream, analyze the network delay and the bandwidth stability, and match to the current network condition, and the step of generating the dynamic setting of the buffer is specifically:
S301: based on the coding parameter configuration, capturing network delay and bandwidth data per minute by using a buffer manager, adjusting the buffer size of an audio stream in real time, recording the parameters and time of each adjustment, and generating a buffer dynamic record;
S302: based on the dynamic record of the buffer zone, periodically checking the real-time flow of the network bandwidth, evaluating the fluctuation condition of the bandwidth, and adjusting the capacity of the buffer zone and the buffer plan according to the fluctuation condition to generate a buffer zone adjustment profile;
S303: and analyzing the buffer size and the adjustment effect of the buffer plan based on the buffer adjustment profile, optimizing the buffer plan by simulating the audio transmission under the condition of the differential network, and generating the buffer dynamic setting.
As a further scheme of the invention, based on the dynamic setting of the buffer, the bandwidth change of the future short-term network is predicted by utilizing a long-term and short-term memory network, the audio bit rate of the earphone is adjusted according to the prediction result, the expected network fluctuation is matched, and the step of generating the bandwidth prediction adaptation result is specifically as follows:
S401: based on the dynamic setting of the buffer zone, utilizing a long-short-period memory network to collect historical data of recent network bandwidth, and predicting bandwidth change in a few hours in the future by analyzing trend and periodical change of the data to generate bandwidth trend information;
s402: based on the bandwidth trend information, reevaluating the matching degree of the predicted data and the current network condition, adjusting the audio bit rate of the earphone according to the evaluation result, matching the expected fluctuation of the network bandwidth, and generating an audio matching configuration;
S403: and based on the audio matching configuration, performing audio bit rate adjustment, performing parameter optimization aiming at predicted network fluctuation, maintaining optimal output quality of earphone audio, recording bit rate setting and network conditions, and generating a bandwidth change prediction record.
As a further scheme of the invention, based on the bandwidth prediction adaptation result, the distortion degree and the signal-to-noise ratio of the earphone audio signal are measured, data analysis is carried out, the tone quality loss is estimated, signal optimization processing is carried out, and the step of generating a tone quality optimization record specifically comprises the following steps:
S501: continuously monitoring earphone output based on the bandwidth prediction adaptation result, measuring the distortion degree and the signal-to-noise ratio of signals, and recording parameters and results in each measurement period by comparing data values with standards to generate tone quality test data;
S502: based on the tone quality test data, performing comparative analysis of the audio signals, determining parameters causing tone quality loss, and optimizing audio distortion and signal to noise ratio by adjusting key parameters in an audio processor to generate a distortion optimization result;
S503: and comparing the audio output data before and after the optimization based on the distortion optimization result, adjusting the setting of the signal processor according to the comparison result, optimizing the sound quality of the earphone, and generating a sound quality optimization record.
As a further aspect of the present invention, based on the sound quality optimization record, adjusting an output setting of the earphone, including modifying equalizer settings and audio processing parameters, performing user preference matching, and refining audio output parameters, the step of generating an audio output optimization result specifically includes:
S601: based on the tone quality optimization record, evaluating the current output setting of the earphone, adjusting the equalizer and the audio processing parameters, matching the audio preference of the user, recording the adjustment parameters and the process of each step, and generating a user preference configuration file;
s602: analyzing and optimizing audio output parameters based on the user preference configuration file, adjusting settings including volume balance, sound effect depth and definition, and generating audio detail optimization information;
S603: and setting the audio output of the earphone based on the audio detail optimization information, adjusting the output parameters of the earphone through feedback information used by the current user, verifying whether the output parameters are correct, and generating an audio output optimization result.
A business earphone control system for executing the above business earphone control method, comprising:
the network monitoring analysis module is used for extracting a fluctuation mode, executing abnormal point detection and removing noise based on the network condition monitored in real time, analyzing bandwidth fluctuation trend and generating a bandwidth fluctuation model by applying a sliding window method;
The coding parameter adaptation module calculates the gap between the current network bandwidth and the audio quality demand by adopting an average bit rate ABR algorithm based on the bandwidth fluctuation model, selects and sets a matched coding bit rate, dynamically adjusts coding parameters and generates coding parameter configuration;
The buffer area adjusting module is used for adjusting the size of a buffer area of the audio stream by utilizing a buffer area manager based on the coding parameter configuration, analyzing network delay and bandwidth stability, matching the network delay and the bandwidth stability to the current network condition, and generating buffer area dynamic setting;
The network fluctuation prediction module predicts the change of network bandwidth in a short period in the future by using a long-short-period memory network based on the dynamic setting of the buffer zone, adjusts the audio bit rate of the earphone and matches the predicted network condition, and generates a bandwidth prediction adaptation result;
And the tone quality output optimization module measures the distortion degree and the signal to noise ratio of the earphone audio signal based on the bandwidth prediction adaptation result, performs signal optimization processing, adjusts the output setting of the earphone, comprises modifying equalizer setting and audio processing parameters, performs user preference matching, refines the audio output parameters and generates an audio output optimization result.
A business earphone comprises a memory and a processor, wherein a computer program is stored in the memory, and the processor realizes the steps of the business earphone control method when executing the computer program.
Compared with the prior art, the invention has the advantages and positive effects that:
According to the invention, the coding bit rate is dynamically adjusted, the future network state is predicted by using the long-short-period memory network, so that high-quality audio experience can be still provided when the network fluctuates, the continuity and stability of audio playing are enhanced, the output can be adjusted to adapt to user preference by real-time tone quality optimization record, the user experience is improved, the tone quality problem caused by unstable network is effectively solved by prediction and self-adaptive adjustment, the method is suitable for a fast-paced business environment, and the smoothness and efficiency of communication are ensured.
Drawings
FIG. 1 is a schematic workflow diagram of the present invention;
FIG. 2 is a flow chart of the step S1 refinement of the present invention;
FIG. 3is a flow chart of the step S2 refinement of the present invention;
FIG. 4 is a flow chart of the step S3 refinement of the present invention;
FIG. 5 is a flowchart of the step S4 refinement of the present invention;
FIG. 6 is a flowchart detailing the step S5 of the present invention;
FIG. 7 is a flowchart detailing the step S6 of the present invention;
Fig. 8 is a system flow diagram of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In the description of the present invention, it should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate describing the present invention and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present invention. Furthermore, in the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
Example 1
Referring to fig. 1, the present invention provides a technical solution: a business earphone control method comprises the following steps:
S1: based on the network condition monitored in real time, recording network bandwidth data in each minute, extracting a bandwidth fluctuation mode by adopting a sliding window method, analyzing the bandwidth fluctuation trend, detecting and removing data noise according to abnormal points, and generating a bandwidth fluctuation model;
S2: based on the bandwidth fluctuation model, an average bit rate ABR algorithm is adopted, the gap between the current network bandwidth and the audio quality requirement is calculated, the matched coding bit rate is selected and set, and the coding parameters are dynamically adjusted according to the network condition, so that coding parameter configuration is generated;
s3: based on the configuration of the coding parameters, the buffer zone manager is utilized to dynamically adjust the size of the buffer zone of the audio stream, analyze the network delay and the bandwidth stability, match the current network condition and generate the dynamic setting of the buffer zone;
s4: based on the dynamic setting of the buffer zone, predicting the bandwidth change of the future short-term network by using a long-term and short-term memory network, adjusting the audio bit rate of the earphone according to the prediction result, and matching the expected network fluctuation to generate a bandwidth prediction adaptation result;
S5: based on the bandwidth prediction adaptation result, measuring the distortion degree and the signal-to-noise ratio of the earphone audio signal, carrying out data analysis, evaluating the tone quality loss, carrying out signal optimization processing, and generating a tone quality optimization record;
S6: based on the tone quality optimization record, the output setting of the earphone is adjusted, including modifying equalizer settings and audio processing parameters, performing user preference matching, and refining audio output parameters to generate an audio output optimization result.
The bandwidth fluctuation model comprises a fluctuation index, a stability scoring result and a peak-valley analysis result, the dynamic setting of a buffer zone comprises a sensitivity adjustment result, a stability index and a response speed, the bandwidth prediction adaptation result comprises prediction accuracy information and a bit rate adjustment result, the tone quality optimization record comprises signal integrity and earphone adjustment effect, and the audio output optimization result comprises output stability, an adjustment range and user satisfaction.
Referring to fig. 2, based on the network condition monitored in real time, recording network bandwidth data in each minute, extracting a bandwidth fluctuation mode by adopting a sliding window method, analyzing a bandwidth fluctuation trend, and removing data noise according to abnormal point detection, wherein the step of generating a bandwidth fluctuation model specifically comprises:
S101: based on the network condition monitored in real time, recording network bandwidth data of each minute, regularly refreshing the statistical data of the bandwidth in a window by utilizing a regular updating mechanism of a sliding window method, and identifying the bandwidth change and fluctuation mode in a short period to generate a bandwidth record table;
When monitoring network conditions, recording network bandwidth data per minute, setting a time window, such as 5 minutes, in which bandwidth values per minute are calculated and averaged to obtain average bandwidth of the window, observing the variation trend of the bandwidth by comparing the average bandwidths of two adjacent time windows, calculating standard deviation for each window to help know the fluctuation degree of the bandwidth in the time window, and identifying abnormal fluctuation, i.e. bandwidth values exceeding the normal fluctuation range by setting a threshold, such as adding twice the standard deviation to the average value, by which short-term variation and fluctuation modes of the bandwidth can be effectively captured and a bandwidth record table can be generated accordingly.
S102: calculating deviation of data points and adjacent points based on a bandwidth record table, identifying abnormal data points inconsistent with a standard bandwidth fluctuation mode, removing the abnormal points from a data set, optimizing data quality and generating a bandwidth data set;
After obtaining the bandwidth record table, calculating the bandwidth deviation of each data point and the adjacent points, setting a smaller time window, for example, 2 minutes, observing the bandwidth difference between each data point and the adjacent points before and after the data point, specifically, calculating the bandwidth difference between each data point and the average value of the bandwidths of the adjacent points before and after the data point, wherein the deviation helps to identify abnormal data points inconsistent with a normal bandwidth fluctuation mode, and effectively identifying and eliminating the abnormal data points by setting a deviation threshold, for example, the average bandwidth of 10 percent, so that the quality of a data set is improved, and a bandwidth data set is generated.
S103: based on the bandwidth data set, analyzing the fluctuation of continuous data points by adopting a statistical analysis method, constructing a fluctuation model reflecting short term and long term, and identifying a network high fluctuation period according to the fluctuation mode to generate a bandwidth fluctuation model;
Based on the bandwidth data set, further analyzing the fluctuation of the bandwidth by adopting a statistical analysis method, setting a larger time window, for example, 10 minutes, calculating the average bandwidth and standard deviation of each data point in the window, and constructing a model reflecting the short-term and long-term fluctuation of the bandwidth by the statistics, for example, by monitoring the standard deviation of a plurality of continuous windows, if the standard deviation is found to continuously exceed twice the long-term average standard deviation, marking the time as a high fluctuation period, identifying a high risk period, and carrying out network adjustment and configuration according to the time period to obtain the bandwidth fluctuation model.
Referring to fig. 3, based on a bandwidth fluctuation model, an average bit rate ABR algorithm is adopted to calculate a gap between a current network bandwidth and an audio quality requirement, select and set a matched coding bit rate, dynamically adjust coding parameters according to network conditions, and the step of generating coding parameter configuration specifically includes:
s201: based on a bandwidth fluctuation model, adopting an average bit rate ABR algorithm to analyze the matching degree between the current network bandwidth and the audio quality requirement, and selecting the coding bit rate matched with the current bandwidth and the audio quality to generate a preliminary parameter table;
The bandwidth fluctuation model is used, the current network bandwidth data is analyzed by adopting an average bit rate ABR algorithm, the quality requirements of the data and the audio transmission are compared, the bandwidth can meet the transmission standard of the audio data, the recommended coding bit rate is output by inputting the current bandwidth data, the bit rate is obtained by matching the real-time bandwidth of the network with the preset audio quality parameters, for example, if the current bandwidth is lower, the lower bit rate is recommended to prevent the audio transmission from being interrupted, and a preliminary parameter table containing the recommended coding bit rate is generated through the analysis.
Average bit rate ABR algorithm, according to the formula:
；
obtaining an optimized coding bit rate Wherein, the method comprises the steps of, wherein,Is time ofThe bandwidth of the network within the network,In order to analyze the time window of the time window,Is time ofIs used to determine the bandwidth weight of (1),In order to adjust the coefficient of the coefficient,In order to attach to the network condition factors,For the number of network condition factors,Is a time interval;
The execution process comprises the following steps:
measuring network bandwidth Throughout the time windowInternal values, and secondly, calculating bandwidth weight for each time point by dynamic adjustmentCan be set according to factors such as network congestion, time period priority and the like, and then the adjusted bandwidth values are accumulated to calculate a time weighted average, and simultaneously, additional network conditions such as network stability, historical bandwidth fluctuation and the like are combined byRepresenting conditions, eachFrom network analysis, finally, use coefficientsTo balanceThe effect on the final bitrate, which is determined by analyzing the audio quality feedback of the historical data, the overall process will generate a coded bitrate that incorporates various network conditionsFor more stable and efficient audio data transmission.
S202: based on the preliminary parameter table, according to the network bandwidth real-time data, adjusting the coding bit rate and the associated coding parameters, matching the real-time change of the network speed, and generating a parameter optimization log;
after the preliminary parameter table is obtained, the encoding bit rate is adjusted according to the real-time data of the network bandwidth, which relates to monitoring the real-time change of the network speed and adjusting the related parameters of the audio encoding according to the change, in particular to real-time monitoring the network bandwidth and comparing with the set value in the preliminary parameter table, if the real-time bandwidth is found to have a significant difference with the set bandwidth in the table, the coding bit rate can be automatically adjusted to adapt to the change of network conditions, the audio quality can be effectively ensured through the dynamic adjustment mechanism, meanwhile, the audio quality degradation caused by bandwidth fluctuation is reduced, and the record of the process is integrated in a parameter optimization log, so that the subsequent analysis and adjustment are convenient.
S203: based on the parameter optimization log, continuously monitoring the audio transmission efficiency and quality, adjusting the coding parameters of audio output according to real-time feedback, matching the current network condition, and generating coding parameter configuration;
Based on the parameter optimization log, the efficiency and quality of audio transmission are continuously monitored, the coding parameters of audio output are adjusted by utilizing real-time feedback data to optimally match the current network condition, in the implementation process, a feedback mechanism is arranged, the mechanism can collect success rate and quality indexes of audio transmission, such as packet loss rate, delay and the like, according to the indexes, the coding parameters can be automatically adjusted, the audio output quality is optimized, in this way, the audio service can be ensured to maintain high-quality output even under the condition of unstable network conditions, and the result of the process is recorded in a coding parameter configuration file, wherein all parameter adjustment and optimization measures are recorded in the file.
Referring to fig. 4, based on the configuration of coding parameters, the buffer manager is utilized to dynamically adjust the size of the buffer of the audio stream, analyze the network delay and the bandwidth stability, match to the current network condition, and generate the dynamic setting of the buffer specifically includes:
s301: based on coding parameter configuration, capturing network delay and bandwidth data per minute by using a buffer manager, adjusting the size of a buffer of an audio stream in real time, recording parameters and time of each adjustment, and generating a buffer dynamic record;
Based on the configured encoding parameters, network delay and bandwidth data per minute are captured, the data reflect the instant state of the network, the delay and bandwidth change of the network are recorded in real time, the buffer size of the audio stream is dynamically adjusted according to the data, for example, if the sudden decrease of the network bandwidth is detected, the buffer size is automatically reduced to prevent interruption of playing, otherwise, if the bandwidth is restored, the buffer size is correspondingly increased, the audio quality is ensured, and the specific parameters and time of each adjustment are recorded to form a buffer dynamic record.
S302: based on the dynamic record of the buffer zone, periodically checking the real-time flow of the network bandwidth, evaluating the fluctuation condition of the bandwidth, and adjusting the capacity of the buffer zone and the buffer plan according to the fluctuation condition to generate a buffer zone adjustment profile;
Based on the dynamic record of the buffer zone, the real-time flow of the network bandwidth is checked regularly, the flow of the network bandwidth and the fluctuation condition thereof are evaluated by monitoring the regular operation, the monitoring result is used for adjusting the capacity and the buffer schedule of the buffer zone, for example, if the monitoring data show that the fluctuation of the bandwidth is large, the capacity of the buffer zone is increased to avoid the play problem caused by the fluctuation of the bandwidth, if the bandwidth is relatively stable, the buffer zone can be correspondingly reduced, thereby more effectively utilizing the resources, the profile of the buffer zone after the adjustment is organized into a report, and all relevant adjustment and decision processes are recorded, thereby being beneficial to continuously optimizing the buffer strategy and improving the responsiveness.
S303: based on the buffer area adjustment profile, analyzing the adjustment effects of the buffer area size and the buffer area plan, optimizing the buffer area plan by simulating audio transmission under the condition of a difference network, and generating buffer area dynamic setting;
Based on the buffer adjustment profile, the buffer size and the adjustment effect of the buffer plan are analyzed, the analysis is performed by simulating audio transmissions under different network conditions, by setting different network delay and bandwidth models, the adaptability and efficiency of the buffer and the buffer plan are tested, the adjustment results indicate which strategies perform best under specific conditions and which require further adjustment, the results of the test and analysis will be used to optimize the buffer plan, ensuring that stable audio transmission services are provided under various network conditions, and finally, all adjustment and optimization measures are summarized and recorded in the final buffer dynamic setting report.
Referring to fig. 5, based on the dynamic setting of the buffer, the bandwidth change of the future short-term network is predicted by using the long-term and short-term memory network, the audio bit rate of the earphone is adjusted according to the prediction result, the expected network fluctuation is matched, and the step of generating the bandwidth prediction adaptation result specifically includes:
S401: based on the dynamic setting of the buffer zone, the history data of the recent network bandwidth is collected by utilizing a long-period memory network, and the bandwidth change in the future hours is predicted by analyzing the trend and the periodical change of the data to generate bandwidth trend information;
Based on the dynamic buffer setting, historical data of recent network bandwidth is collected, the historical data is used for analyzing trend and periodical change of the network bandwidth, for example, peak and valley periods of the network bandwidth in a day can be identified through time series analysis, the analysis helps to predict the bandwidth change in the future hours, a statistical model such as a moving average or an exponential smoothing method is utilized to calculate future trend of the bandwidth, the prediction results are integrated and a bandwidth trend information report is generated, and the report shows the predicted bandwidth change in detail and provides basis for subsequent adjustment.
S402: based on the bandwidth trend information, reevaluating the matching degree of the predicted data and the current network condition, adjusting the audio bit rate of the earphone according to the evaluation result, matching the expected fluctuation of the network bandwidth, and generating an audio matching configuration;
Based on the generated bandwidth trend information, a re-evaluation is performed to determine the matching degree of the predicted data and the current network condition, a comparison mechanism is involved, the comparison mechanism compares the difference between the current actual network bandwidth and the predicted bandwidth, the audio bit rate of the earphone is adjusted to match the expected fluctuation of the network bandwidth according to the comparison result, if the predicted display bandwidth is reduced, the audio bit rate is automatically reduced to avoid interruption, if the predicted bandwidth is increased, the bit rate is correspondingly increased to provide higher tone quality, and an audio matching configuration is generated.
S403: based on the audio matching configuration, adjusting the audio bit rate, optimizing parameters aiming at predicted network fluctuation, keeping the optimal output quality of earphone audio, recording bit rate setting and network conditions, and generating a bandwidth change prediction record;
Based on the audio matching configuration, the audio bit rate is adjusted, the predicted network fluctuation is subjected to detailed parameter optimization to keep the optimal output quality of the earphone audio, the method specifically comprises the steps of setting an audio bit rate adjusting scheme under different network conditions, automatically triggering through real-time monitoring of network conditions, recording the adjustment of the bit rate and the change of the network conditions in detail each time, forming a bandwidth change prediction record, and recording not only conveniently tracking the history adjustment condition, but also providing a preparation scheme for future network fluctuation and ensuring the continuity and quality of audio services.
Referring to fig. 6, based on the bandwidth prediction adaptation result, the distortion degree and the signal-to-noise ratio of the earphone audio signal are measured, data analysis is performed, the tone quality loss is estimated, signal optimization processing is performed, and the step of generating a tone quality optimization record specifically includes:
S501: continuously monitoring earphone output based on a bandwidth prediction adaptation result, measuring distortion degree and signal-to-noise ratio of signals, and recording parameters and results in each measurement period by comparing data values with standards to generate tone quality test data;
Based on the bandwidth predictive adaptation result, continuous monitoring of the earphone output is implemented, the main objective of the monitoring is to evaluate the distortion degree and the signal-to-noise ratio of the signal, to set a periodic measurement period, for example, once every 30 minutes, to measure the distortion degree and the signal-to-noise ratio of the current output signal, and to compare with a preset tone quality standard, and this comparison helps to identify any deviation from the standard, and specific parameters and results in each measurement period are accurately recorded, so as to generate tone quality test data records, which provide basic data for subsequent tone quality analysis and optimization.
S502: based on tone quality test data, performing comparative analysis of the audio signals, determining parameters causing tone quality loss, and optimizing audio distortion and signal-to-noise ratio by adjusting key parameters in an audio processor to generate a distortion optimization result;
Based on the tone quality test data, a comparative analysis of the audio signal is performed to determine which parameters lead to a loss of tone quality, particularly those key parameters affecting the distortion level and the signal to noise ratio, by analyzing the data of each measurement period, specific factors leading to a reduction of tone quality can be identified, and once the key factors are determined, a targeted adjustment, such as an adjustment of certain parameters (e.g., filter settings, gain control, etc.) in the audio processor is performed to reduce distortion and improve the signal to noise ratio, and by optimizing, a distortion optimization result is generated, and the result records specific improvements before and after parameter adjustment.
S503: based on the distortion optimization result, comparing the audio output data before and after optimization, adjusting the signal processor setting according to the comparison result, optimizing the earphone tone quality, and generating a tone quality optimization record;
After distortion optimization is performed, based on a distortion optimization result, audio output data before and after the optimization is compared, the effect of the adjustment is evaluated, the fact that the sound quality can be actually improved by each parameter adjustment is ensured, the settings of a signal processor, such as the adjustment compression ratio, the dynamic range setting and the like, are further adjusted through the comparison result so as to optimize the sound quality of the earphone, the adjustment details and the result thereof are recorded in a sound quality optimization record, the record not only provides a detailed sound quality optimization process, but also ensures that the effect and the progress of the optimization can be tracked at any time, and ensures that the output of the earphone always keeps the optimal sound quality.
Referring to fig. 7, based on the sound quality optimization record, the output setting of the earphone is adjusted, including modifying equalizer settings and audio processing parameters, performing user preference matching, and refining audio output parameters, and the steps of generating an audio output optimization result are specifically as follows:
S601: based on the tone quality optimization record, evaluating the current output setting of the earphone, adjusting the equalizer and the audio processing parameters, matching the audio preference of the user, recording the adjustment parameters and the process of each step, and generating a user preference configuration file;
The current output setting of the earphone is evaluated by using the tone quality optimization record, the current tone quality setting condition and the user feedback can be known through the record, the adjustment is carried out according to the specific audio preference of the user, the optimization comprises the optimization of the frequency response curve, the gain control and other relevant audio processing parameters of the equalizer, for example, if the record shows that the low-frequency effect of the user preference is more obvious, the low-frequency band of the equalizer is promoted, the parameters and the specific process of each adjustment are recorded in detail, a user preference configuration file is formed by recording, the file reflects the personalized tone quality requirement and the corresponding setting of the user, and the audio experience of each user is ensured to be optimized to the greatest extent.
S602: based on the user preference configuration file, analyzing and optimizing audio output parameters, adjusting settings including volume balance, sound effect depth and definition, and generating audio detail optimization information;
based on the user preference configuration file, further analysis and optimization are performed on the audio output parameters, and the detail adjustment of volume balance, sound effect depth and definition is performed, so that the audio parameters needing to be optimized can be identified by carefully analyzing the data in the user preference configuration file, and in the adjustment process, for example, the sound effect depth needs to be increased to provide richer hearing experience, or the volume balance is adjusted to ensure that the audio output keeps consistent effect under different environments, the adjusted information is recorded, and audio detail optimization information is generated.
S603: setting the audio output of the earphone based on the audio detail optimization information, adjusting the output parameters of the earphone through the feedback information used by the current user, verifying whether the output parameters are correct, and generating an audio output optimization result;
Setting the audio output of the earphone based on the generated audio detail optimization information, wherein in the process, the output parameters of the earphone are adjusted through the actual feedback used by the current user, including the volume, the tone quality and the sound effect adjusted based on the user activity feedback, for example, if the user feedback is too low in the outdoor environment, the corresponding volume setting is enhanced, after the adjustment is completed, a series of verification tests are performed to ensure that all the output parameters are correct, the verification process ensures that the set parameters can be actually reflected in the output of the earphone, and an audio output optimization result is generated.
Referring to fig. 8, a business earphone control system, the system comprises:
the network monitoring analysis module is used for extracting a fluctuation mode, executing abnormal point detection and removing noise based on the network condition monitored in real time, analyzing bandwidth fluctuation trend and generating a bandwidth fluctuation model by applying a sliding window method;
the coding parameter adaptation module calculates the gap between the current network bandwidth and the audio quality requirement by adopting an average bit rate ABR algorithm based on the bandwidth fluctuation model, selects and sets a matched coding bit rate, dynamically adjusts coding parameters and generates coding parameter configuration;
The buffer area adjusting module is used for adjusting the size of a buffer area of the audio stream based on the configuration of the coding parameters by utilizing a buffer area manager, analyzing the network delay and the bandwidth stability, matching the network delay and the bandwidth stability to the current network condition, and generating the dynamic setting of the buffer area;
the network fluctuation prediction module predicts the change of network bandwidth in a short period in the future by using a long-period memory network based on the dynamic setting of the buffer zone, adjusts the audio bit rate of the earphone and matches the predicted network condition, and generates a bandwidth prediction adaptation result;
The tone quality output optimization module is used for measuring the distortion degree and the signal to noise ratio of the earphone audio signal based on the bandwidth prediction adaptation result, performing signal optimization processing, adjusting the output setting of the earphone, including modifying equalizer setting and audio processing parameters, performing user preference matching, refining the audio output parameters, and generating an audio output optimization result.
A business earphone comprises a memory and a processor, wherein a computer program is stored in the memory, and the processor realizes the steps of the business earphone control method when executing the computer program.
The present invention is not limited to the above embodiments, and any equivalent embodiments which can be changed or modified by the technical disclosure described above can be applied to other fields, but any simple modification, equivalent changes and modification made to the above embodiments according to the technical matter of the present invention will still fall within the scope of the technical disclosure.
Claims (10)
1. A business earphone control method is characterized by comprising the following steps:
Based on the network condition monitored in real time, recording network bandwidth data in each minute, extracting a bandwidth fluctuation mode by adopting a sliding window method, analyzing the bandwidth fluctuation trend, detecting and removing data noise according to abnormal points, and generating a bandwidth fluctuation model;
Based on the bandwidth fluctuation model, an average bit rate ABR algorithm is adopted, the gap between the current network bandwidth and the audio quality requirement is calculated, the matched coding bit rate is selected and set, and the coding parameters are dynamically adjusted according to the network condition, so that coding parameter configuration is generated;
Based on the coding parameter configuration, dynamically adjusting the size of a buffer zone of the audio stream by using a buffer zone manager, analyzing network delay and bandwidth stability, matching to the current network condition, and generating buffer zone dynamic setting;
Based on the dynamic setting of the buffer zone, predicting the bandwidth change of the future short-term network by using a long-term and short-term memory network, adjusting the audio bit rate of the earphone according to the prediction result, matching the expected network fluctuation, and generating a bandwidth prediction adaptation result;
Based on the bandwidth prediction adaptation result, measuring the distortion degree and the signal-to-noise ratio of the earphone audio signal, carrying out data analysis, evaluating the tone quality loss, carrying out signal optimization processing, and generating a tone quality optimization record;
and adjusting output setting of the earphone based on the tone quality optimization record, including modifying equalizer setting and audio processing parameters, performing user preference matching, refining audio output parameters, and generating an audio output optimization result.
2. The method for controlling a business earphone according to claim 1, wherein the bandwidth fluctuation model comprises a fluctuation index, a stability scoring result and a peak-valley analysis result, the dynamic buffer setting comprises a sensitivity adjustment result, a stability index and a response speed, the bandwidth prediction adaptation result comprises prediction accuracy information and a bit rate adjustment result, the tone quality optimization record comprises signal integrity and earphone adjustment effect, and the audio output optimization result comprises output stability, an adjustment range and user satisfaction.
3. The method for controlling a business earphone according to claim 1, wherein based on the bandwidth fluctuation model, an average bit rate ABR algorithm is adopted to calculate a gap between a current network bandwidth and an audio quality demand, a matched encoding bit rate is selected and set, and encoding parameters are dynamically adjusted according to network conditions, and the step of generating encoding parameter configuration is specifically as follows:
Based on the bandwidth fluctuation model, adopting an average bit rate ABR algorithm to analyze the matching degree between the current network bandwidth and the audio quality demand, and selecting the coding bit rate matched with the current bandwidth and the audio quality to generate a preliminary parameter table;
based on the preliminary parameter table, according to the network bandwidth real-time data, adjusting the coding bit rate and the associated coding parameters, matching the real-time change of the network speed, and generating a parameter optimization log;
based on the parameter optimization log, continuously monitoring the audio transmission efficiency and quality, adjusting the coding parameters of the audio output according to real-time feedback, matching the current network condition, and generating coding parameter configuration.
4. The business earphone control method of claim 3, wherein the average bit rate ABR algorithm follows:
；
obtaining an optimized coding bit rate Wherein, the method comprises the steps of, wherein,Is time ofThe bandwidth of the network within the network,In order to analyze the time window of the time window,Is time ofIs used to determine the bandwidth weight of (1),In order to adjust the coefficient of the coefficient,In order to attach to the network condition factors,For the number of network condition factors,Is a time interval.
5. The method for controlling a business earphone according to claim 1, wherein based on the encoding parameter configuration, the buffer manager is used to dynamically adjust the size of the buffer of the audio stream, analyze the network delay and the bandwidth stability, match to the current network condition, and generate the dynamic setting of the buffer specifically comprises:
Based on the coding parameter configuration, capturing network delay and bandwidth data per minute by using a buffer manager, adjusting the buffer size of an audio stream in real time, recording the parameters and time of each adjustment, and generating a buffer dynamic record;
Based on the dynamic record of the buffer zone, periodically checking the real-time flow of the network bandwidth, evaluating the fluctuation condition of the bandwidth, and adjusting the capacity of the buffer zone and the buffer plan according to the fluctuation condition to generate a buffer zone adjustment profile;
And analyzing the buffer size and the adjustment effect of the buffer plan based on the buffer adjustment profile, optimizing the buffer plan by simulating the audio transmission under the condition of the differential network, and generating the buffer dynamic setting.
6. The method for controlling a business earphone according to claim 1, wherein the step of predicting a future short-term network bandwidth change by using a long-term and short-term memory network based on the dynamic setting of the buffer zone, adjusting an earphone audio bit rate according to a prediction result, matching an expected network fluctuation, and generating a bandwidth prediction adaptation result is specifically as follows:
Based on the dynamic setting of the buffer zone, utilizing a long-short-period memory network to collect historical data of recent network bandwidth, and predicting bandwidth change in a few hours in the future by analyzing trend and periodical change of the data to generate bandwidth trend information;
Based on the bandwidth trend information, reevaluating the matching degree of the predicted data and the current network condition, adjusting the audio bit rate of the earphone according to the evaluation result, matching the expected fluctuation of the network bandwidth, and generating an audio matching configuration;
And based on the audio matching configuration, performing audio bit rate adjustment, performing parameter optimization aiming at predicted network fluctuation, maintaining optimal output quality of earphone audio, recording bit rate setting and network conditions, and generating a bandwidth change prediction record.
7. The method for controlling a business earphone according to claim 1, wherein the steps of measuring the distortion degree and the signal-to-noise ratio of the earphone audio signal based on the bandwidth prediction adaptation result, performing data analysis, evaluating the sound quality loss, performing signal optimization processing, and generating the sound quality optimization record are specifically as follows:
Continuously monitoring earphone output based on the bandwidth prediction adaptation result, measuring the distortion degree and the signal-to-noise ratio of signals, and recording parameters and results in each measurement period by comparing data values with standards to generate tone quality test data;
Based on the tone quality test data, performing comparative analysis of the audio signals, determining parameters causing tone quality loss, and optimizing audio distortion and signal to noise ratio by adjusting key parameters in an audio processor to generate a distortion optimization result;
And comparing the audio output data before and after the optimization based on the distortion optimization result, adjusting the setting of the signal processor according to the comparison result, optimizing the sound quality of the earphone, and generating a sound quality optimization record.
8. The method for controlling a business earphone according to claim 1, wherein adjusting the output setting of the earphone based on the sound quality optimization record includes modifying equalizer settings and audio processing parameters, performing user preference matching, and refining audio output parameters, and the step of generating an audio output optimization result is specifically:
based on the tone quality optimization record, evaluating the current output setting of the earphone, adjusting the equalizer and the audio processing parameters, matching the audio preference of the user, recording the adjustment parameters and the process of each step, and generating a user preference configuration file;
Analyzing and optimizing audio output parameters based on the user preference configuration file, adjusting settings including volume balance, sound effect depth and definition, and generating audio detail optimization information;
And setting the audio output of the earphone based on the audio detail optimization information, adjusting the output parameters of the earphone through feedback information used by the current user, verifying whether the output parameters are correct, and generating an audio output optimization result.
9. A business earphone control system for performing the business earphone control method of any one of claims 1-8, the system comprising:
the network monitoring analysis module is used for extracting a fluctuation mode, executing abnormal point detection and removing noise based on the network condition monitored in real time, analyzing bandwidth fluctuation trend and generating a bandwidth fluctuation model by applying a sliding window method;
The coding parameter adaptation module calculates the gap between the current network bandwidth and the audio quality demand by adopting an average bit rate ABR algorithm based on the bandwidth fluctuation model, selects and sets a matched coding bit rate, dynamically adjusts coding parameters and generates coding parameter configuration;
The buffer area adjusting module is used for adjusting the size of a buffer area of the audio stream by utilizing a buffer area manager based on the coding parameter configuration, analyzing network delay and bandwidth stability, matching the network delay and the bandwidth stability to the current network condition, and generating buffer area dynamic setting;
The network fluctuation prediction module predicts the change of network bandwidth in a short period in the future by using a long-short-period memory network based on the dynamic setting of the buffer zone, adjusts the audio bit rate of the earphone and matches the predicted network condition, and generates a bandwidth prediction adaptation result;
And the tone quality output optimization module measures the distortion degree and the signal to noise ratio of the earphone audio signal based on the bandwidth prediction adaptation result, performs signal optimization processing, adjusts the output setting of the earphone, comprises modifying equalizer setting and audio processing parameters, performs user preference matching, refines the audio output parameters and generates an audio output optimization result.
10. A business earphone comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the business earphone control method of any one of claims 1 to 8 when the computer program is executed.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119232996A (en) * | 2024-12-02 | 2024-12-31 | 桐庐华数数字电视有限公司 | Video playing method based on digital audio |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012149705A1 (en) * | 2011-08-11 | 2012-11-08 | 华为技术有限公司 | Long-term prediction method and apparatus of network traffic |
| US9106887B1 (en) * | 2014-03-13 | 2015-08-11 | Wowza Media Systems, LLC | Adjusting encoding parameters at a mobile device based on a change in available network bandwidth |
| CN117440440A (en) * | 2023-12-21 | 2024-01-23 | 艾康恩(深圳)电子科技有限公司 | Bluetooth headset low-delay transmission method |
| CN117729164A (en) * | 2024-02-08 | 2024-03-19 | 深圳中科云信息技术有限公司 | Dynamic bandwidth allocation system for four-port gigabit network card |
| CN117834944A (en) * | 2023-12-19 | 2024-04-05 | 号百信息服务有限公司 | Method, device, electronic equipment and storage medium for adaptive video semantic communication |
-
2024
- 2024-07-22 CN CN202410980194.XA patent/CN118524326B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012149705A1 (en) * | 2011-08-11 | 2012-11-08 | 华为技术有限公司 | Long-term prediction method and apparatus of network traffic |
| US9106887B1 (en) * | 2014-03-13 | 2015-08-11 | Wowza Media Systems, LLC | Adjusting encoding parameters at a mobile device based on a change in available network bandwidth |
| CN117834944A (en) * | 2023-12-19 | 2024-04-05 | 号百信息服务有限公司 | Method, device, electronic equipment and storage medium for adaptive video semantic communication |
| CN117440440A (en) * | 2023-12-21 | 2024-01-23 | 艾康恩(深圳)电子科技有限公司 | Bluetooth headset low-delay transmission method |
| CN117729164A (en) * | 2024-02-08 | 2024-03-19 | 深圳中科云信息技术有限公司 | Dynamic bandwidth allocation system for four-port gigabit network card |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119232996A (en) * | 2024-12-02 | 2024-12-31 | 桐庐华数数字电视有限公司 | Video playing method based on digital audio |
| CN119232996B (en) * | 2024-12-02 | 2025-03-25 | 桐庐华数数字电视有限公司 | Video playback method based on digital audio |
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