Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2011, Pages 5192-5195

  Rasipuram, Ramya ^a,b   Mathew, Magimai Doss ^a  

^a IDIAP RESEARCH INSTITUTE   (Switzerland)

^b EPFL   (Switzerland)

Author keywords

articulatory features; automatic speech recognition; Kullback Leibler divergence based hidden Markov model; multilayer perceptrons; phonemes; posterior probabilities

Indexed keywords

ARTICULATORY FEATURES; AUTOMATIC SPEECH RECOGNITION; KULLBACK LEIBLER DIVERGENCE; MULTI-LAYER PERCEPTRONS; PHONEMES; POSTERIOR PROBABILITY;

CYBERNETICS; HIDDEN MARKOV MODELS; MULTILAYERS; PATTERN RECOGNITION SYSTEMS; PROBABILITY; SIGNAL PROCESSING; SPEECH COMMUNICATION; SPEECH RECOGNITION;

FEATURE EXTRACTION;

EID: 80051625935     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5947527     Document Type: Conference Paper

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