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Combined Supervised and Unsupervised Approaches for Automatic Segmentation of Radiophonic Audio Streams

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3 Author(s)
Gael Richard ; GET-ENST, 37 rue Dareau, 75014 Paris, France ; Mathieu Ramona ; Slim Essid

Speech/music discrimination is one of the most studied topics in the domain of audio data segmentation. In this paper, we propose and evaluate a novel method that includes feature selection and a combined supervised and unsupervised strategy for audio streams segmentation. A number of alternatives solutions for each component are assessed and the optimized system is compared to the approaches proposed in the framework of the ESTER campaign.

Published in:

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07  (Volume:2 )

Date of Conference:

15-20 April 2007