Presentation 2012-05-24
Development of robust voice activity detection using empirical mode decomposition and modulation spectrum analysis
Yasuaki KANAI, Masashi UNOKI,
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Abstract(in English) Voice activity detection (VAD) is used to detect speech/non-speech periods in observed signals. However, current VAD technique has a serious problem in that the accuracy of detection of speech periods drastically reduces if it is used for noisy speech and/or for mixtures of speech/non-speech. We proposed a robust VAD using empirical mode decomposition (EMD) and modulation spectrum analysis (MSA) to resolve these problems (method A). EMD is used to decompose the observed signals into intrinsic mode functions (IMFs). Then, speech/non-speech periods are determined from resynthesize non-stationary IMFs by using MSA. Method A detected speech periods more correctly than conventional method. However, False detection was not able to be lost completely. This paper examined the techniques that raise robustness of method A. We proposed VAD that is detected from each IMFs by MSA(method B). As a result of evaluation, method B was able to do VAD which was more exact and stabilize (detection accuracy is not influenced by an analysis signal) than the method A. It has checked that robustness was improving.
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Keyword(in English) voice activity detection / empirical mode decomposition / modulation spectrum analysis / false acceptance rate / false rejection rate
Paper # EA2012-1,SIP2012-1,SP2012-1
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Conference Information
Committee SIP
Conference Date 2012/5/17(1days)
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Paper Information
Registration To Signal Processing (SIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Development of robust voice activity detection using empirical mode decomposition and modulation spectrum analysis
Sub Title (in English)
Keyword(1) voice activity detection
Keyword(2) empirical mode decomposition
Keyword(3) modulation spectrum analysis
Keyword(4) false acceptance rate
Keyword(5) false rejection rate
1st Author's Name Yasuaki KANAI
1st Author's Affiliation School of Information Science, Japan Advanced Institute of Science and Technology()
2nd Author's Name Masashi UNOKI
2nd Author's Affiliation School of Information Science, Japan Advanced Institute of Science and Technology
Date 2012-05-24
Paper # EA2012-1,SIP2012-1,SP2012-1
Volume (vol) vol.112
Number (no) 48
Page pp.pp.-
#Pages 6
Date of Issue