Impact of deep MLP architecture on different acoustic modeling techniques for under-resourced speech recognition

2013 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2013 - Proceedings

Volumn , Issue , 2013, Pages 332-337

  Imseng, David ^a   Motlicek, Petr ^a   Garner, Philip N ^a   Bourlard, Hervé ^a,b  

^a IDIAP RESEARCH INSTITUTE   (Switzerland)

^b EPFL   (Switzerland)

Author keywords

deep MLPs; hybrid system; KL HMM; Tandem; under resourced speech recognition

Indexed keywords

DEEP MLPS; EMISSION PROBABILITIES; GAUSSIAN MIXTURE SYSTEMS; KL-HMM; KULLBACK-LEIBLER DIVERGENCE BASED HMM; MULTI LAYER PERCEPTRON; TANDEM; UNDER-RESOURCED;

HYBRID SYSTEMS;

SPEECH RECOGNITION;

EID: 84893708321     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2013.6707752     Document Type: Conference Paper

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