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» Reservoir-based techniques for speech recognition
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TASLP
2011
12 years 11 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
ICASSP
2011
IEEE
12 years 8 months ago
Learning vocal tract variables with multi-task kernels
The problem of acoustic-to-articulatory speech inversion continues to be a challenging research problem which significantly impacts automatic speech recognition robustness and ac...
Hachem Kadri, Emmanuel Duflos, Philippe Preux
SPEECH
2010
210views more  SPEECH 2010»
13 years 3 months ago
An overview of text-independent speaker recognition: From features to supervectors
This paper gives an overview of automatic speaker recognition technology, with an emphasis on text-independent recognition. Speaker recognition has been studied actively for sever...
Tomi Kinnunen, Haizhou Li
ICASSP
2011
IEEE
12 years 8 months ago
Compensation of partly reliable components for band-limited speech recognition with missing data techniques
Mismatch in speech bandwidth between training and real operation greatly degrades the performance of automatic speech recognition (ASR) systems. Missing feature technique (MFT) is...
Yongjun He, Jiqing Han, Tieran Zheng, Guibin Zheng
ICASSP
2011
IEEE
12 years 8 months ago
A pitch based noise estimation technique for robust speech recognition with Missing Data
This paper presents a noise estimation technique based on knowledge of pitch information for robust speech recognition. In the first stage the noise is estimated by means of extr...
Juan Andres Morales-Cordovilla, Ning Ma, Victoria ...