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» Signal Processing for Robust Speech Recognition
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CSL
2010
Springer
15 years 6 months ago
Monaural speech separation based on MAXVQ and CASA for robust speech recognition
Robustness is one of the most important topics for automatic speech recognition (ASR) in practical applications. Monaural speech separation based on computational auditory scene a...
Peng Li, Yong Guan, Shijin Wang, Bo Xu, Wenju Liu
TSD
2005
Springer
15 years 11 months ago
Why Is the Recognition of Spontaneous Speech so Hard?
Although speech, derived from reading texts, and similar types of speech, e.g. that from reading newspapers or that from news broadcast, can be recognized with high accuracy, recog...
Sadaoki Furui, Masanobu Nakamura, Tomohisa Ichiba,...
TASLP
2002
111views more  TASLP 2002»
15 years 5 months ago
Speech enhancement using a mixture-maximum model
We present a spectral domain, speech enhancement algorithm. The new algorithm is based on a mixture model for the short time spectrum of the clean speech signal, and on a maximum a...
David Burshtein, Sharon Gannot
ICASSP
2011
IEEE
14 years 9 months ago
The MIT LL 2010 speaker recognition evaluation system: Scalable language-independent speaker recognition
Research in the speaker recognition community has continued to address methods of mitigating variational nuisances. Telephone and auxiliary-microphone recorded speech emphasize th...
Douglas E. Sturim, William M. Campbell, Najim Deha...
ICASSP
2009
IEEE
16 years 20 days ago
Robust speech dereverberation based on non-negativity and sparse nature of speech spectrograms
This paper presents a blind dereverberation method designed to recover the subband envelope of an original speech signal from its reverberant version. The problem is formulated as...
Hirokazu Kameoka, Tomohiro Nakatani, Takuya Yoshio...