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FTSIG
2007
136views more  FTSIG 2007»
15 years 4 months ago
The Application of Hidden Markov Models in Speech Recognition
Hidden Markov Models (HMMs) provide a simple and effective framework for modelling time-varying spectral vector sequences. As a consequence, almost all present day large vocabula...
Mark J. F. Gales, Steve Young
TASLP
2002
124views more  TASLP 2002»
15 years 4 months ago
Discriminating capabilities of syllable-based features and approaches of utilizing them for voice retrieval of speech informatio
With the rapidly growing use of the audio and multimedia information over the Internet, the technology for retrieving speech information using voice queries is becoming more and mo...
Berlin Chen, Hsin-Min Wang, Lin-Shan Lee
TASLP
2002
124views more  TASLP 2002»
15 years 4 months ago
A robust compensation strategy for extraneous acoustic variations in spontaneous speech recognition
In this paper, we propose a robust compensation strategy to deal effectively with extraneous acoustic variations for spontaneous speech recognition. This strategy extends speaker a...
Hui Jiang, Li Deng
LREC
2008
122views Education» more  LREC 2008»
15 years 5 months ago
Applying Automated Metrics to Speech Translation Dialogs
Over the past five years, the Defense Advanced Research Projects Agency (DARPA) has funded development of speech translation systems for tactical applications. A key component of ...
Sherri L. Condon, Jon Phillips, Christy Doran, Joh...
ICASSP
2008
IEEE
15 years 11 months ago
Dual-microphone speech dereverberation using GARCH modeling
In this paper, we develop a dual-microphone speech dereverberation algorithm for noisy environments, which is aimed at suppressing late reverberation and background noise. The spe...
Ari Abramson, Emanuel A. P. Habets, Sharon Gannot,...