A study of low-variance multi-taper features for distributed speech recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7015 LNAI, Issue , 2011, Pages 239-245

  Alam, Md Jahangir ^a,b   Kenny, Patrick ^a   O'Shaughnessy, Douglas ^b  

^a Cent de Recherche Informatique de Montreal   (Canada)

^b INRS EMT   (Canada)

Author keywords

AURORA 2; multi taper spectrum; Speech recognition

Indexed keywords

AURORA-2; DISTRIBUTED SPEECH RECOGNITION; MEL-FREQUENCY CEPSTRAL COEFFICIENTS; MULTI-TAPER SPECTRUM; ROBUST SPEECH RECOGNITION; SPECTRUM ESTIMATION;

ESTIMATION; FEATURE EXTRACTION; FREQUENCY ESTIMATION; NONLINEAR ANALYSIS; SPECTRUM ANALYSIS; SPEECH PROCESSING;

SPEECH RECOGNITION;

EID: 81155151872     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-25020-0_31     Document Type: Conference Paper

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