UNSUPERVISED ADAPTIVE SPEECH TECHNOLOGY FOR LIMITED RESOURCE LANGUAGES: A CASE STUDY FOR TAMIL

SLTU 2008 - 1st International Workshop on Spoken Languages Technologies for Under-Resourced Languages

Volumn , Issue , 2008, Pages 98-101

  Çetin, Özgür ^a   Plauché, Madelaine ^b   Nallasamy, Udhaykumar ^c  

^a YAHOO INC   (United States)

^b INTERNATIONAL COMPUTER SCIENCE INSTITUTE   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Speech recognition; unsupervised learning

Indexed keywords

UNSUPERVISED LEARNING;

AGRICULTURAL INFORMATIONS; CASE-STUDIES; DIALOGUE SYSTEMS; FIELD RECORDING; LIMITED DATA; LOW-COSTS; MODEL ADAPTATION; MULTI-MODAL; SPEECH RECOGNIZER; SPEECH TECHNOLOGY;

SPEECH RECOGNITION;

EID: 69249125883     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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