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ICASSP
2010
IEEE

Clap your hands! Calibrating spectral subtraction for dereverberation

9 years 9 months ago
Clap your hands! Calibrating spectral subtraction for dereverberation
Reverberation effects as observed by room microphones severely degrade the performance of automatic speech recognition systems. We investigate the use of dereverberation by spectral subtraction as proposed by Lebart and Boucher and introduce a simple approach to estimate the required decay parameter by clapping hands. Experiments on small vocabulary continuous speech recognition task on read speech show that using the calibrated dereverberation improves WER from 73.2 to 54.7 for the best microphone. In combination with system adaptation, the WER could be reduced to 28.2, which is only a 16% relative loss of performance comparison to using a headset instead of a room microphone.
Uwe Zah, Korbinian Riedhammer, Tobias Bocklet, Elm
Added 11 Feb 2011
Updated 11 Feb 2011
Type Journal
Year 2010
Where ICASSP
Authors Uwe Zah, Korbinian Riedhammer, Tobias Bocklet, Elmar Nöth
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