Dimensionality reduction for using high-order n-grams in SVM-based phonotactic language recognition

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

Volumn , Issue , 2011, Pages 853-856

  Penagarikano, Mikel ^a   Varona, Amparo ^a   Rodriguez Fuentes, Luis Javier ^a   Bordel, German ^a  

^a UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

Author keywords

Feature selection; High order n grams; Phonotactic language recognition; Principal component analysis; Random projection; SVM

Indexed keywords

DIMENSIONALITY REDUCTION; FEATURE PROJECTION; FEATURE SELECTION ALGORITHM; FEATURE SPACE; FEATURE SUBSPACE; HIGH-ORDER; LANGUAGE RECOGNITION; N-GRAMS; OPEN SOFTWARE; RANDOM PROJECTIONS; SMALL FEATURES; STATE-OF-THE-ART TECHNOLOGY; SVM;

ALGORITHMS; FEATURE EXTRACTION; LUNAR SURFACE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; TELEPHONE SETS;

TELEPHONE SYSTEMS;

EID: 84865747629     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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