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INTERSPEECH
2010

An improved wavelet-based dereverberation for robust automatic speech recognition

12 years 10 months ago
An improved wavelet-based dereverberation for robust automatic speech recognition
This paper presents an improved wavelet-based dereverberation method for automatic speech recognition (ASR). Dereverberation is based on filtering reverberant wavelet coefficients with the Wiener gains to suppress the effect of the late reflections. Optimization of the wavelet parameters using acoustic model enables the system to estimate the clean speech and late reflections effectively. This results to a better estimate of the Wiener gains for dereverberation in the ASR application. Additional tuning of the parameters of the Wiener gain in relation with the acoustic model further improves the dereverberation process for ASR. In the experiment with real reverberant data, we have achieved a significant improvement in ASR accuracy.
Randy Gomez, Tatsuya Kawahara
Added 18 May 2011
Updated 18 May 2011
Type Journal
Year 2010
Where INTERSPEECH
Authors Randy Gomez, Tatsuya Kawahara
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