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» Robust speech recognition using dynamic noise adaptation
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SPEECH
2008
97views more  SPEECH 2008»
13 years 7 months ago
A new approach for the adaptation of HMMs to reverberation and background noise
Looking at practical application scenarios of speech recognition systems several distortion effects exist that have a major influence on the speech signal and can considerably det...
Hans-Günter Hirsch, Harald Finster
INTERSPEECH
2010
13 years 2 months ago
Feature versus model based noise robustness
Over the years, the focus in noise robust speech recognition has shifted from noise robust features to model based techniques such as parallel model combination and uncertainty de...
Kris Demuynck, Xueru Zhang, Dirk Van Compernolle, ...
IJCAI
1997
13 years 8 months ago
Understanding Three Simultaneous Speeches
Understanding three simultaneous speeches is proposed as a challenge problem to foster artificial intelligence, speech and sound understanding or recognition, and computational au...
Hiroshi G. Okuno, Tomohiro Nakatani, Takeshi Kawab...
TASLP
2002
111views more  TASLP 2002»
13 years 7 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
SPEECH
2010
136views more  SPEECH 2010»
13 years 5 months ago
Robust speech recognition by integrating speech separation and hypothesis testing
Missing data methods attempt to improve robust speech recognition by distinguishing between reliable and unreliable data in the time-frequency domain. Such methods require a binar...
Soundararajan Srinivasan, DeLiang L. Wang