A tree-based kernel selection approach to efficient Gaussian mixture model-universal background model based speaker identification

Speech Communication

Volumn 48, Issue 10, 2006, Pages 1273-1282

  Xiong, Zhenyu ^a   Zheng, Thomas Fang ^a   Song, Zhanjiang ^b   Soong, Frank ^c   Wu, Wenhu ^a  

^a TSINGHUA UNIVERSITY   (China)

^b Beijing d Ear Technologies Co Ltd   (China)

^c MICROSOFT RESEARCH ASIA   (China)

Author keywords

GMM UBM; Speaker recognition, Speaker identification; Tree based kernel selection

Indexed keywords

BIT ERROR RATE; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; DATA STRUCTURES; HIERARCHICAL SYSTEMS; TREES (MATHEMATICS); VECTOR QUANTIZATION;

FEATURE VECTOR; GAUSSIAN MIXTURE MODEL (GMM); SPEAKER IDENTIFICATION; TREE-BASED KERNEL SELECTION (TBKS) ALGORITHMS;

SPEECH RECOGNITION;

EID: 33748586494     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.specom.2006.06.011     Document Type: Article

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