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» Optimization of Formant Feature Based Speech Recognition
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INTERSPEECH
2010
13 years 2 months ago
Improvements of search error risk minimization in viterbi beam search for speech recognition
This paper describes improvements in a search error risk minimization approach to fast beam search for speech recognition. In our previous work, we proposed this approach to reduc...
Takaaki Hori, Shinji Watanabe, Atsushi Nakamura
ICASSP
2009
IEEE
14 years 2 months ago
Minimum variance modulation filter for robust speech recognition
This paper describes a way of designing modulation filter by datadriven analysis which improves the performance of automatic speech recognition systems that operate in real envir...
Yu-Hsiang Bosco Chiu, Richard M. Stern
ICASSP
2011
IEEE
12 years 11 months ago
Switching linear dynamic transducer for stereo data based speech feature mapping
The performance of a speech recognition system may be degraded even without any background noise because of the linear or non-linear distortions incurred by recording devices or r...
Chang Woo Han, Tae Gyoon Kang, Doo Hwa Hong, Nam S...
INTERSPEECH
2010
13 years 2 months ago
Mask estimation in non-stationary noise environments for missing feature based robust speech recognition
In missing feature based automatic speech recognition (ASR), the role of the spectro-temporal mask in providing an accurate description of the relationship between target speech a...
Shirin Badiezadegan, Richard C. Rose
ICASSP
2008
IEEE
14 years 1 months ago
Irrelevant variability normalization based HMM training using map estimation of feature transforms for robust speech recognition
In the past several years, we’ve been studying feature transformation (FT) approaches to robust automatic speech recognition (ASR) which can compensate for possible “distortio...
Donglai Zhu, Qiang Huo