Unsupervised speaker indexing using generic models

IEEE Transactions on Speech and Audio Processing

Volumn 13, Issue 5, 2005, Pages 1004-1013

  Kwon, Soonil ^a,b,c,d,e   Narayanan, Shrikanth ^a,b,d,f,g,h  

^a IEEE   (United States)

^b University of Southern California ^*  (United States)

^c SAMSUNG Electronics   (South Korea)

^d Signal and Image Processing Institute   (United States)

^e Div of Biokinesiology and Physical Therapy   (United States)

^f UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^g NATIONAL SCIENCE FOUNDATION   (United States)

^h Phi Kappa Phi ^*  (United States)

Author keywords

Generic models; Localized search algorithm (LSA); Markov chain Monte Carlo (MCMC) method; Maximum a posteriori (MAP); Sample speaker models (SSM); Universal background model (UBM); Universal gender models (UGM); Unsupervised speaker indexing

Indexed keywords

GENERIC MODELS; LOCALIZED SEARCH ALGORITHMS (LSA); MARKOV CHAIN MONTE CARLO (MCMC) METHODS; MAXIMUM A POSTERIORI; SAMPLE SPEAKER MODELS (SSM); UNSUPERVISED SPEAKER INDEXING; UNVERSAL BACKGROUND MODELS (UBM); UNVERSAL GENDER MODELS (UGM);

BROADCASTING; INDEXING (OF INFORMATION); MARKOV PROCESSES; MATHEMATICAL MODELS; MONTE CARLO METHODS; SET THEORY;

SPEECH RECOGNITION;

EID: 27644599375     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSA.2005.851981     Document Type: Article

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