Voice activity detection based on an unsupervised learning framework

IEEE Transactions on Audio, Speech and Language Processing

Volumn 19, Issue 8, 2011, Pages 2624-2632

  Ying, Dongwen ^a   Yan, Yonghong ^a   Dang, Jianwu ^b,c   Soong, Frank K ^d  

^a INSTITUTE OF ACOUSTICS   (China)

^b TIANJIN UNIVERSITY   (China)

^c JAPAN ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

^d MICROSOFT RESEARCH ASIA   (China)

Author keywords

Model based Gaussian clustering; sequential Gaussian mixture model (GMM); speech presence probability; unsupervised learning; voice activity detection (VAD)

Indexed keywords

CONSTRUCT MODELS; EM ALGORITHMS; GAUSSIAN MIXTURE MODEL; GAUSSIANS; GSM AMR; MODEL CONSTRUCTION; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING; STATISTICAL MODELS; SUB-BANDS; TIME FREQUENCY DOMAIN; TIMIT DATABASE; VOICE ACTIVITY DETECTION; VOICE ACTIVITY DETECTION (VAD); VOICE ACTIVITY DETECTORS;

ALGORITHMS; DETECTORS; GAUSSIAN DISTRIBUTION; SUPERVISED LEARNING; UNSUPERVISED LEARNING;

SPEECH RECOGNITION;

EID: 80053614636     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2011.2125953     Document Type: Article

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