Towards enabling measurement of similarity of acoustical environments using mobile devices

Towards enabling measurement of similarity of acoustical environments using mobile devices

There is a similarity between algorithm for automatic speaker recognition, speech or emotion recognition in speech, and in general automatic sound recognition. Algorithm based on use of mel-frequency cepstral coefficients and covariance matrices, previously used for automatic speaker recognition, is...

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Bibliographic Details
Published in:2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) pp. 195 - 198
Main Authors: Jokic, Ivan D., Jokic, Stevan D., Delic, Vlado D., Peric, Zoran H.
Format: Conference Proceeding
Language:English
Published: IEEE 01-10-2017
Subjects:
Acoustical environment
Automatic sound recognition
Covariance matrices
Covariance matrix
Emotion recognition
Mel-frequency cepstral coefficients
Mobile handsets
Speaker recognition
Speech
Speech recognition
Timbre
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Description
Summary:There is a similarity between algorithm for automatic speaker recognition, speech or emotion recognition in speech, and in general automatic sound recognition. Algorithm based on use of mel-frequency cepstral coefficients and covariance matrices, previously used for automatic speaker recognition, is extended to automatic sound recognition. One example of using application for automatic sound recognition is presented. This application can show the similarity between different acoustical environments.
ISBN:1538617994
9781538617991
DOI:10.1109/TELSKS.2017.8246261