Improvements to the LIUM French ASR system based on CMU Sphinx: What helps to significantly reduce the word error rate?

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2009, Pages 2123-2126

  Deléglise, Paul ^a   Estève, Yannick ^a   Meignier, Sylvain ^a   Merlin, Teva ^a  

^a UNIVERSITÉ DU MAINE   (France)

Author keywords

Acoustic model; Automatic speech recognition system; Evaluation; Language modeling

Indexed keywords

ACOUSTIC MODEL; AUTOMATIC SPEECH RECOGNITION SYSTEM; BROADCAST NEWS; COMPUTATION TIME; LANGUAGE MODELING; NEW SYSTEM; OPEN-SOURCE; SYSTEM-BASED; TEST DATA; TRAINING ALGORITHMS; TRAINING DATA; VOCABULARY SIZE; WORD ERROR RATE;

ACOUSTICS; COMPUTATIONAL LINGUISTICS; ESTERIFICATION; ESTERS; REMELTING; SPEECH COMMUNICATION;

SPEECH RECOGNITION;

EID: 70450190028     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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