Access the number of speakers through visual access tendency for effective speech clustering-Reference-Cited by-同舟云学术

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Access the number of speakers through visual access tendency for effective speech clustering

Published:2018-02-05 Issue:2 Volume:9 Page:559-566
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Suneetha Rani T.^ORCID,Krishna Prasad M. H. M.

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

http://link.springer.com/article/10.1007/s13198-018-0703-3/fulltext.html

Reference30 articles.

1. Alam MJ, Gupta V, Kenny P, Dumouchel P (2015) Speech recognition in reverberant and noisy environments employing multiple feature extractors and i-vector speaker adaptation, pp 1–13

2. Anguera X (2012) Speaker independent discriminant feature extraction for acoustic pattern matching. In: Proceedings of the ICASSP

3. Arun P (2001) Data mining techniques. Universities Press, London

4. Cai D, He X, Han J (2005) Document clustering using locality preserving indexing. IEEE Trans Knowl Data Eng 17(2):1624–1637

5. Chu S, Tang H, Haung T (2009) Fishervoice and semi-supervised speaker clustering. In: Proceedings of the IEEE international acoustic speech and signal processing, pp 4089–4092

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