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TASLP
2011
13 years 5 days 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
ISCI
2008
129views more  ISCI 2008»
13 years 5 months ago
Thai spelling analysis for automatic spelling speech recognition
Spelling speech recognition can be applied for several purposes including enhancement of speech recognition systems and implementation of name retrieval systems. This paper presen...
Chutima Pisarn, Thanaruk Theeramunkong
KONVENS
2000
13 years 8 months ago
The RWTH Large Vocabulary Speech Recognition System for Spontaneous Speech
This paper presents details of the RWTH large vocabulary continuous speech recognition system used in the VERBMOBIL spontaneous speech translation system. In particular, we report...
Stephan Kanthak, Sirko Molau, Achim Sixtus, Ralf S...
ICASSP
2010
IEEE
13 years 3 months ago
Clap your hands! Calibrating spectral subtraction for dereverberation
Reverberation effects as observed by room microphones severely degrade the performance of automatic speech recognition systems. We investigate the use of dereverberation by spectr...
Uwe Zah, Korbinian Riedhammer, Tobias Bocklet, Elm...
SP
2002
IEEE
114views Security Privacy» more  SP 2002»
13 years 4 months ago
HMM-based techniques for speech segments extraction
The goal of the speech segments extraction process is to separate acoustic events of interest (the speech segment to be recognised) in a continuously recorded signal from other par...
Waleed H. Abdulla