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» Analysis-by-synthesis features for speech recognition
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MLMI
2005
Springer
14 years 3 months ago
Automatic Speech Recognition and Speech Activity Detection in the CHIL Smart Room
Abstract. An important step to bring speech technologies into wide deployment as a functional component in man-machine interfaces is to free the users from close-talk or desktop mi...
Stephen M. Chu, Etienne Marcheret, Gerasimos Potam...
INTERSPEECH
2010
13 years 4 months ago
Feature versus model based noise robustness
Over the years, the focus in noise robust speech recognition has shifted from noise robust features to model based techniques such as parallel model combination and uncertainty de...
Kris Demuynck, Xueru Zhang, Dirk Van Compernolle, ...
CSL
2000
Springer
13 years 9 months ago
Detection of phonological features in continuous speech using neural networks
We report work on the first component of a two stage speech recognition architecture based on phonological features rather than phones. The paper reports experiments on three phon...
Simon King, Paul Taylor
ICASSP
2011
IEEE
13 years 1 months ago
Delta-spectral cepstral coefficients for robust speech recognition
Almost all current automatic speech recognition (ASR) systems conventionally append delta and double-delta cepstral features to static cepstral features. In this work we describe ...
Kshitiz Kumar, Chanwoo Kim, Richard M. Stern
NAACL
2007
13 years 11 months ago
Speech Summarization Without Lexical Features for Mandarin Broadcast News
We present the first known empirical study on speech summarization without lexical features for Mandarin broadcast news. We evaluate acoustic, lexical and structural features as ...
Jian Zhang, Pascale Fung