Research Project
Grant-in-Aid for Young Scientists (B)
To improve speech recognition performance in adverse conditions, a noise compensation method is proposed and investigated that applies a transformation in the spectral domain whose parameters are optimized based on likelihood of speech GMM modeled on the feature domain. Experimental results show that the proposed method is able to work in real-time and it is effective to reduce noise effects.
All 2010 2009 Other
All Journal Article (4 results) (of which Peer Reviewed: 4 results) Presentation (3 results) Remarks (2 results)
Proc.APSIPA Vol.1
Pages: 470-473
120006702339
Proc.APSIPA
Volume: 1 Pages: 470-473
Proc.INTERSPEECH Vol.1
Pages: 1255-1258
120007016511
Proc.INTERSPEECH 1
http://www.furui.cs.titech.ac.jp/~shinot/