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» Analysis-by-synthesis features for speech recognition
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ICASSP
2011
IEEE
13 years 1 months ago
Language-independent constrained cepstral features for speaker recognition
Constrained cepstral systems, which select frames to match various linguistic “constraints” in enrollment and test, have shown significant improvements for speaker verificatio...
Elizabeth Shriberg, Andreas Stolcke
TASLP
2002
84views more  TASLP 2002»
13 years 9 months ago
Maximum likelihood multiple subspace projections for hidden Markov models
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...
Mark J. F. Gales
31
Voted
ISCAS
1999
IEEE
112views Hardware» more  ISCAS 1999»
14 years 2 months ago
An acoustic-phonetic feature-based system for automatic phoneme recognition in continuous speech
An acoustic-phonetic feature- and knowledge-based system for the automatic segmentation, broad categorization and fine phoneme recognition of continuous speech is described. The s...
A. M. Abdelatty Ali, Jan Van der Spiegel, Paul Mue...
ICASSP
2010
IEEE
13 years 10 months ago
Morphology-based and sub-word language modeling for Turkish speech recognition
We explore morphology-based and sub-word language modeling approaches proposed for morphologically rich languages, and evaluate and contrast them for Turkish broadcast news transc...
Hasim Sak, Murat Saraclar, Tunga Güngör
ICASSP
2010
IEEE
13 years 4 months ago
Search error risk minimization in Viterbi beam search for speech recognition
This paper proposes a method to optimize Viterbi beam search based on search error risk minimization in large vocabulary continuous speech recognition (LVCSR). Most speech recogni...
Takaaki Hori, Shinji Watanabe, Atsushi Nakamura