Veena et al., 2022 - Google Patents
Sound classification system using deep neural networks for hearing impaired peopleVeena et al., 2022
- Document ID
- 8550199905322466557
- Author
- Veena S
- Aravindhar D
- Publication year
- Publication venue
- Wireless Personal Communications
External Links
Snippet
Sound plays an important role in day to day life among all living organisms. It tells us about the environment, the characteristics of it, about people, place and move in a way where visuals cannot. In today's world, various types of sound are included in the environment and …
- 206010019245 Hearing impaired 0 title abstract description 43
Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification
- G10L17/26—Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L2015/088—Word spotting
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/28—Constructional details of speech recognition systems
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use for comparison or discrimination
- G10L25/66—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use for comparison or discrimination for extracting parameters related to health condition
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00
- G10L25/78—Detection of presence or absence of voice signals
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9602938B2 (en) | Sound library and method | |
Shah et al. | Audio iot analytics for home automation safety | |
CN103918247B (en) | Intelligent mobile phone sensor logic based on background environment | |
US9959885B2 (en) | Method for user context recognition using sound signatures | |
Oh et al. | Target speech feature extraction using non-parametric correlation coefficient | |
KR20140088836A (en) | Methods and systems for searching utilizing acoustical context | |
Veena et al. | Sound classification system using deep neural networks for hearing impaired people | |
Tariq et al. | Smart 311 request system with automatic noise detection for safe neighborhood | |
Yin et al. | A deep learning-based pipeline for mosquito detection and classification from wingbeat sounds | |
CN113257283B (en) | Audio signal processing method and device, electronic equipment and storage medium | |
US20120242860A1 (en) | Arrangement and method relating to audio recognition | |
Verma et al. | Speaker-independent source cell-phone identification for re-compressed and noisy audio recordings | |
Fime et al. | Audio signal based danger detection using signal processing and deep learning | |
Ghosh et al. | Improved wireless acoustic sensor network for analysing audio properties | |
Chandrakala et al. | Multi-view representation for sound event recognition | |
Siantikos et al. | Fusing multiple audio sensors for acoustic event detection | |
Dosbayev et al. | Audio surveillance: detection of audio-based emergency situations | |
Spadini et al. | Sound event recognition in a smart city surveillance context | |
Park et al. | Urban Noise Analysis and Emergency Detection System using Lightweight End-to-End Convolutional Neural Network | |
Chu et al. | A semi-supervised learning approach to online audio background detection | |
Domazetovska et al. | IoT smart city framework using AI for urban sound classification | |
Barkana et al. | Auditory suspicious event databases: DASE and Bi-DASE | |
Nair et al. | Detection of audio-based emergency situations using scale | |
Paseddula et al. | Acoustic Scene Classification Using Various Features and DNN Model: A Monolithic and Hierarchical Approach | |
Mulimani et al. | Acoustic Event and Scene Classification: A Review |