A comparison of subspace feature-domain methods for language recognition

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

Volumn , Issue , 2008, Pages 309-312

  Campbell, W M ^a   Sturim, D E ^a   Torres Carrasquillo, P ^a   Reynolds, D A ^a  

^a MIT LINCOLN LABORATORY   (United States)

Author keywords

Feature compensation; Language recognition; Support vector machines

Indexed keywords

CEPSTRAL FEATURES; DOMAIN METHODS; FACTOR ANALYSIS; FEATURE COMPENSATION; FEATURE DOMAIN; FEATURE SPACE; LANGUAGE RECOGNITION; LATENT FACTOR; MEAN AND VARIANCE NORMALIZATIONS; MODEL COMPENSATION; NEW APPROACHES; SPEAKER RECOGNITION; SPEECH APPLICATIONS; SUB-SPACE METHODS; SUPPORT VECTOR; TEST CONDITION;

SPEECH COMMUNICATION; SPEECH RECOGNITION; SUPPORT VECTOR MACHINES; VECTORS;

FEATURE EXTRACTION;

EID: 84867216951     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

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