A New Statistical Voice Activity Detection Based on UMP Test

This letter presents a new voice activity detection (VAD) method using a uniformly most powerful (UMP) test to improve the performance of Sohn's et al.'s VAD. The UMP test is employed to derive a redefined decision rule based on the likelihood ratio test (LRT). The proposed method provides...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 14; no. 11; pp. 891 - 894
Main Authors Kim, Dong Kook, Jang, Keun Won, Chang, Joon-Hyuk
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2007
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Discrete Fourier transforms
Frequency
Gaussian distribution
Gaussian noise
Light rail systems
Likelihood ratio
Noise
Noise cancellation
Rule based
Signal processing
Signal processing algorithms
Speech
Speech coding
Speech enhancement
speech processing
Statistical distributions
Statistics
Testing
Voice
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Summary:This letter presents a new voice activity detection (VAD) method using a uniformly most powerful (UMP) test to improve the performance of Sohn's et al.'s VAD. The UMP test is employed to derive a redefined decision rule based on the likelihood ratio test (LRT). The proposed method provides the decision rule by comparing the magnitude of the noisy speech signal to the adaptive threshold estimated from the noise statistics. Experimental results show that the proposed VAD algorithm based on the UMP test outperforms those based on the widely used Gaussian distribution.
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ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2007.900225