7 search results - page 1 / 2 » Mask estimation in non-stationary noise environments for mis... |
INTERSPEECH
2010
12 years 11 months ago
2010
In missing feature based automatic speech recognition (ASR), the role of the spectro-temporal mask in providing an accurate description of the relationship between target speech a...
TASLP
2011
12 years 11 months 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
2009
IEEE
13 years 11 months 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...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
Despite their effectiveness for robust speech processing, missing data techniques are vulnerable to errors in the classification of the input speech signal’s time-frequency poi...
SPEECH
2010
13 years 2 months ago
2010
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...