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» Automatic speech recognition system channel modeling
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ICPR
2006
IEEE
14 years 10 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
ICASSP
2009
IEEE
14 years 3 months ago
Filtering web text to match target genres
In language modeling for speech recognition, both the amount of training data and the match to the target task impact the goodness of the model, with the trade-off usually favorin...
Marius A. Marin, Sergey Feldman, Mari Ostendorf, M...
IROS
2006
IEEE
180views Robotics» more  IROS 2006»
14 years 3 months ago
Real-Time Robot Audition System That Recognizes Simultaneous Speech in The Real World
— This paper presents a robot audition system that recognizes simultaneous speech in the real world by using robotembedded microphones. We have previously reported Missing Featur...
Shun'ichi Yamamoto, Kazuhiro Nakadai, Mikio Nakano...
INTERSPEECH
2010
13 years 3 months ago
Asymptotically exact noise-corrupted speech likelihoods
Model compensation techniques for noise-robust speech recognition approximate the corrupted speech distribution. This paper introduces a sampling method that, given speech and noi...
Rogier C. van Dalen, Mark J. F. Gales
MLMI
2007
Springer
14 years 3 months ago
Binaural Speech Separation Using Recurrent Timing Neural Networks for Joint F0-Localisation Estimation
A speech separation system is described in which sources are represented in a joint interaural time difference-fundamental frequency (ITD-F0) cue space. Traditionally, recurrent t...
Stuart N. Wrigley, Guy J. Brown