A regularized kernel-based approach to unsupervised audio segmentation

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2009, Pages 1665-1668

  Harchaoui, Zaïd ^a   Vallet, Félicien ^a,b   Lung Yut Fong, Alexandre ^a   Cappé, Olivier ^a  

^a INSTITUT TELECOM   (France)

^b Institut National de l'Audiovisuel   (France)

Author keywords

Audio segmentation; Change detection; Kernel methods

Indexed keywords

APRIORI; ASYMPTOTIC DISTRIBUTIONS; AUDIO SEGMENTATION; CHANGE DETECTION; CHANGE DETECTORS; FALSE ALARM RATE; KERNEL BASED APPROACH; KERNEL FISHER DISCRIMINANT; KERNEL METHODS; SPEAKER DIARIZATION; UNSUPERVISED CHANGE DETECTION;

ACOUSTICS; AUDIO SYSTEMS; DETECTORS; FACE RECOGNITION; SIGNAL PROCESSING; STATISTICAL TESTS;

SIGNAL DETECTION;

EID: 70349226806     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4959921     Document Type: Conference Paper

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