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» Feature Compensation with Model-Based Estimation for Noise M...
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TASLP
2011
12 years 12 months ago
Advances in Missing Feature Techniques for Robust Large-Vocabulary Continuous Speech Recognition
— 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 ...
Maarten Van Segbroeck, Hugo Van Hamme
INTERSPEECH
2010
12 years 11 months ago
Mask estimation in non-stationary noise environments for missing feature based robust speech recognition
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...
Shirin Badiezadegan, Richard C. Rose
ICASSP
2009
IEEE
13 years 11 months ago
Sparse imputation for noise robust speech recognition using soft masks
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...
Jort F. Gemmeke, Bert Cranen
ICASSP
2010
IEEE
13 years 5 months ago
Histogram equalization and noise masking for robust speech recognition
Mismatch between training and test conditions deteriorates the performance of speech recognizers. This paper investigates the combination of parametric histogram equalization (pHE...
Xueru Zhang, Kris Demuynck, Hugo Van Hamme