VAD INNES: A voice activity detector for noisy industrial environments

A new algorithm for voice activity detection (VAD) in noisy industrial environments is presented in this paper. It is based on a Mel scale wavelet packet partition and on a decision-making process performed according to the Johnstone and Silverman (JSTP) threshold parameter value used as a decision...

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Bibliographic Details
Main Authors: Seris, J., Gargour, C., Laville, F.
Format: Conference Proceeding
Language:English
Subjects:
Acoustic noise
Decision making
Detectors
Frequency
Partitioning algorithms
Signal processing
Signal to noise ratio
Speech processing
Wavelet packets
Working environment noise
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Summary:A new algorithm for voice activity detection (VAD) in noisy industrial environments is presented in this paper. It is based on a Mel scale wavelet packet partition and on a decision-making process performed according to the Johnstone and Silverman (JSTP) threshold parameter value used as a decision criterion and to energy considerations. The experimental results obtained are very satisfactory.
ISSN:1548-3746
1558-3899
DOI:10.1109/MWSCAS.2007.4488609