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TASLP
2011
13 years 3 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
LREC
2008
138views Education» more  LREC 2008»
13 years 10 months ago
MISTRAL: a Statistical Machine Translation Decoder for Speech Recognition Lattices
This paper presents MISTRAL, an open source statistical machine translation decoder dedicated to spoken language translation. While typical machine translation systems take a writ...
Alexandre Patry, Philippe Langlais
INTERSPEECH
2010
13 years 3 months ago
Robust automatic speech recognition with decoder oriented ideal binary mask estimation
In this paper, we propose a joint optimal method for automatic speech recognition (ASR) and ideal binary mask (IBM) estimation in transformed into the cepstral domain through a ne...
Lae-Hoon Kim, Kyung-Tae Kim, Mark Hasegawa-Johnson
CHINZ
2008
ACM
13 years 10 months ago
Interactive visualisation techniques for dynamic speech transcription, correction and training
As performance gains in automatic speech recognition systems plateau, improvements to existing applications of speech recognition technology seem more likely to come from better u...
Saturnino Luz, Masood Masoodian, Bill Rogers
TASLP
2002
96views more  TASLP 2002»
13 years 8 months ago
MAP speaker adaptation of state duration distributions for speech recognition
This paper presents a framework for maximum a posteriori (MAP) speaker adaptation of state duration distributions in hidden Markov models (HMM). Four key issues of MAP estimation, ...
Néstor Becerra Yoma, Jorge Silva Sán...