Enhance speaker segmentation by elaborating utterance detection

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	Similar Articles Articles by null Min Yang Articles by null Zhaohui Wu Articles by null Yingchun Yang

2005 IEEE International Conference on Multimedia and Expo

Amsterdam, Netherlands

July 06-July 06

ISBN: 0-7803-9331-7

	ASCII Text	x
	null Min Yang, null Zhaohui Wu, null Yingchun Yang, "Enhance speaker segmentation by elaborating utterance detection," Multimedia and Expo, IEEE International Conference on, pp. 4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005.

	BibTex	x
	@article{ 10.1109/ICME.2005.1521419, author = {null Min Yang and null Zhaohui Wu and null Yingchun Yang}, title = {Enhance speaker segmentation by elaborating utterance detection}, journal ={Multimedia and Expo, IEEE International Conference on}, volume = {0}, year = {2005}, isbn = {0-7803-9331-7}, pages = {4 pp.}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2005.1521419}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Multimedia and Expo, IEEE International Conference on TI - Enhance speaker segmentation by elaborating utterance detection SN - 0-7803-9331-7 SP EP A1 - null Min Yang, A1 - null Zhaohui Wu, A1 - null Yingchun Yang, PY - 2005 KW - Hub4-NE broadcast database KW - utterance detection algorithm KW - enhanced speaker segmentation KW - silence detector KW - audio type classifier KW - open-set verification testing VL - 0 JA - Multimedia and Expo, IEEE International Conference on ER -

null Min Yang, Coll. of Comput. Sci., Tech. Zhejiang Univ., Hangzhou, China

null Zhaohui Wu, Coll. of Comput. Sci., Tech. Zhejiang Univ., Hangzhou, China

null Yingchun Yang, Coll. of Comput. Sci., Tech. Zhejiang Univ., Hangzhou, China

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICME.2005.1521419

In this paper, we introduce an elaborate utterance detection algorithm to enhance speaker segmentation. Silence detector, further divider and audio type classifier are employed in this elaborate utterance detection, to make this algorithm adaptive for both silent and noisy environments. Open-set verification testing has taken on the Hub4-NE broadcasts database. The experiment results show that this enhanced segmentation method can provide better information for speaker models.

Index Terms:

Hub4-NE broadcast database, utterance detection algorithm, enhanced speaker segmentation, silence detector, audio type classifier, open-set verification testing

Citation:

null Min Yang, null Zhaohui Wu, null Yingchun Yang, "Enhance speaker segmentation by elaborating utterance detection," icme, pp.4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005

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