34 search results - page 3 / 7 » Non-linear noise compensation for robust speech recognition ... |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Model based compensation schemes are a powerful approach for noise robust speech recognition. Recently there have been a number of investigations into adaptive training, and estim...
ICASSP
2009
IEEE
14 years 14 hour ago
2009
IEEE
In previous work we introduced a new missing data imputation method for ASR, dubbed sparse imputation. We showed that the method is capable of maintaining good recognition accurac...
TASLP
2011
13 years 6 days ago
2011
— Missing feature theory (MFT) has demonstrated great potential for improving the noise robustness in speech recognition. MFT was mostly applied in the log-spectral domain since ...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
High noise robustness has been achieved in speech recognition by using sparse exemplar-based methods with spectrogram windows spanning up to 300 ms. A downside is that a large exe...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Speech enhancement is a common approach to address the effects of degradation due to noise and channel contamination. This approach is intended to suppress unwanted signal and rec...