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» Bi-Spectral Acoustic Features for Robust Speech Recognition
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INTERSPEECH
2010
13 years 2 months ago
Decision tree state clustering with word and syllable features
In large vocabulary continuous speech recognition, decision trees are widely used to cluster triphone states. In addition to commonly used phonetically based questions, others hav...
Hank Liao, Christopher Alberti, Michiel Bacchiani,...
BIOSTEC
2008
184views Healthcare» more  BIOSTEC 2008»
13 years 9 months ago
Automatic Speech Recognition Based on Electromyographic Biosignals
This paper presents our studies of automatic speech recognition based on electromyographic biosignals captured from the articulatory muscles in the face using surface electrodes. W...
Szu-Chen Stan Jou, Tanja Schultz
INTERSPEECH
2010
13 years 2 months ago
Towards mixed language speech recognition systems
Multilingual speech recognition obviously involves numerous research challenges, including common phoneme sets, adaptation on limited amount of training data, as well as mixed lan...
David Imseng, Hervé Bourlard, Mathew Magima...
ICASSP
2011
IEEE
12 years 11 months ago
Iterative feature normalization for emotional speech detection
Contending with signal variability due to source and channel effects is a critical problem in automatic emotion recognition. Any approach in mitigating these effects however has t...
Carlos Busso, Angeliki Metallinou, Shrikanth S. Na...
COST
2007
Springer
138views Multimedia» more  COST 2007»
14 years 1 months ago
Exploiting a Vowel Based Approach for Acted Emotion Recognition
This paper is dedicated to the description and the study of a new feature extraction approach for emotion recognition. Our contribution is based on the extraction and the character...
Fabien Ringeval, Mohamed Chetouani