Partially supervised speaker clustering

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 34, Issue 5, 2012, Pages 959-971

  Tang, Hao ^a   Chu, Stephen Mingyu ^b   Hasegawa Johnson, Mark ^c   Huang, Thomas S ^c  

^a HEWLETT PACKARD LABORATORIES   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

distance metric learning; partial supervision; Speaker clustering

Indexed keywords

ACOUSTIC FEATURES; AUDIO STREAM; CONTENT-BASED MULTIMEDIA; DIMENSIONALITY REDUCTION; DISTANCE METRIC LEARNING; DISTANCE METRICS; EUCLIDEAN DISTANCE; GAUSSIAN MIXTURE MODEL; GRAPH EMBEDDINGS; HIGH DIMENSIONAL SPACES; MEDIA CONTENT; MULTIMEDIA DATABASE; PARTIAL SUPERVISION; PRIOR KNOWLEDGE; SCATTERING PROPERTY; SPEAKER CLUSTERING; SPEECH UTTERANCE; SUPERVECTOR; TRAINING DATA SETS;

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; DISCRIMINANT ANALYSIS; IMAGE SEGMENTATION; INDEXING (MATERIALS WORKING); LEARNING ALGORITHMS; SPEECH RECOGNITION; VIDEO SIGNAL PROCESSING;

AUDIO SIGNAL PROCESSING;

ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; CLUSTER ANALYSIS; DISCRIMINANT ANALYSIS; HUMAN; METHODOLOGY; SIGNAL PROCESSING; SPEECH;

ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; DISCRIMINANT ANALYSIS; HUMANS; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED; SPEECH;

EID: 84859204374     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2011.174     Document Type: Article

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