Dereverberation and denoising based on generalized spectral subtraction by multi-channel LMS algorithm using a small-scale microphone array
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Open Access
- 17 January 2012
- journal article
- Published by Springer Nature in EURASIP Journal on Advances in Signal Processing
- Vol. 2012 (1) , 12
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Distant-Talking Speech Recognition Based on Spectral Subtraction by Multi-Channel LMS AlgorithmIEICE Transactions on Information and Systems, 2011
- Far-Field Speaker Recognition2006
- Optimal step size of the adaptive multichannel LMS algorithm for blind SIMO identificationIEEE Signal Processing Letters, 2005
- Subspace Methods for Multimicrophone Speech DereverberationEURASIP Journal on Advances in Signal Processing, 2003
- Study on the dereverberation of speech based on temporal envelope filtering2002
- Speech enhancement based on temporal processing2002
- Adaptive multi-channel least mean square and Newton algorithms for blind channel identificationSignal Processing, 2002
- JNAS: Japanese speech corpus for large vocabulary continuous speech recognition research.Acoustical Science and Technology, 1999
- A parametric formulation of the generalized spectral subtraction methodIEEE Transactions on Speech and Audio Processing, 1998
- Cepstrum-based deconvolution for speech dereverberationIEEE Transactions on Speech and Audio Processing, 1996