Combined supervised and unsupervised approaches for automatic segmentation of radiophonic audio streams

Gaël Richard; Mathieu Ramona; Slim Essid

doi:10.1109/ICASSP.2007.366272

Combined supervised and unsupervised approaches for automatic segmentation of radiophonic audio streams

Gaël Richard, Mathieu Ramona, Slim Essid

Telecom Paris

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Pages	II461-II464
DOIs	https://doi.org/10.1109/ICASSP.2007.366272
Publication status	Published - 6 Aug 2007
Event	2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States Duration: 15 Apr 2007 → 20 Apr 2007

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2
ISSN (Print)	1520-6149

Conference

Conference	2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Country/Territory	United States
City	Honolulu, HI
Period	15/04/07 → 20/04/07

Keywords

Audio segmentation
Novelty detection
Speech/music discrimination

Access to Document

10.1109/ICASSP.2007.366272

Cite this

Richard, G., Ramona, M., & Essid, S. (2007). Combined supervised and unsupervised approaches for automatic segmentation of radiophonic audio streams. In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 (pp. II461-II464). Article 4217445 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2). https://doi.org/10.1109/ICASSP.2007.366272

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title = "Combined supervised and unsupervised approaches for automatic segmentation of radiophonic audio streams",

abstract = "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.",

keywords = "Audio segmentation, Novelty detection, Speech/music discrimination",

author = "Ga{\"e}l Richard and Mathieu Ramona and Slim Essid",

year = "2007",

month = aug,

day = "6",

doi = "10.1109/ICASSP.2007.366272",

language = "English",

isbn = "1424407281",

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

pages = "II461--II464",

booktitle = "2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07",

note = "2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 ; Conference date: 15-04-2007 Through 20-04-2007",

}

Richard, G, Ramona, M & Essid, S 2007, Combined supervised and unsupervised approaches for automatic segmentation of radiophonic audio streams. in 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07., 4217445, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2, pp. II461-II464, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, Honolulu, HI, United States, 15/04/07. https://doi.org/10.1109/ICASSP.2007.366272

Combined supervised and unsupervised approaches for automatic segmentation of radiophonic audio streams. / Richard, Gaël; Ramona, Mathieu; Essid, Slim.
2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. 2007. p. II461-II464 4217445 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Combined supervised and unsupervised approaches for automatic segmentation of radiophonic audio streams

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AU - Ramona, Mathieu

AU - Essid, Slim

PY - 2007/8/6

Y1 - 2007/8/6

N2 - 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.

AB - 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.

KW - Audio segmentation

KW - Novelty detection

KW - Speech/music discrimination

U2 - 10.1109/ICASSP.2007.366272

DO - 10.1109/ICASSP.2007.366272

M3 - Conference contribution

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SN - 1424407281

SN - 9781424407286

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - II461-II464

BT - 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07

T2 - 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07

Y2 - 15 April 2007 through 20 April 2007

ER -

Richard G, Ramona M, Essid S. Combined supervised and unsupervised approaches for automatic segmentation of radiophonic audio streams. In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. 2007. p. II461-II464. 4217445. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2007.366272

Combined supervised and unsupervised approaches for automatic segmentation of radiophonic audio streams

Abstract

Publication series

Conference

Keywords

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