A hybrid SVM/MCE training approach for vector space topic identification of spoken audio recordings

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

Volumn , Issue , 2008, Pages 2542-2545

  Hazen, Timothy J ^a   Richardson, Fred ^a  

^a MIT LINCOLN LABORATORY   (United States)

Author keywords

MCE training; Support vector machines; Topic identification; Topic spotting

Indexed keywords

ERROR RATE REDUCTION; FEATURE SPACE; FUNCTION WORDS; INPUT FEATURES; KERNEL FUNCTION; MCE TRAINING; MINIMUM CLASSIFICATION ERROR; RELATIVE CONTRIBUTION; SPOKEN AUDIO RECORDING; SUPPORT VECTOR; SVM CLASSIFIERS; TOPIC IDENTIFICATION; TOPIC SPOTTING;

SPEECH COMMUNICATION; SPEECH RECOGNITION; STEREOPHONIC RECORDINGS; VECTOR SPACES; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 84867211153     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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