A new approach of speaker clustering based on the stereophonic differential energy

Author:

Ouamour S.,Sayoud H.

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference43 articles.

1. Ajmera, J., Bourlard, H., & Lapidot, I. (2002). Improved unknown-multiple speaker clustering using HMM (Technical report). IDIAP.

2. Ajmera, J., Lathoud, G., & McCowan, I. (2004). Clustering and segmenting speakers and their locations in meetings. ICASSP Proceedings, 1, 605–608.

3. Barras, C., Zhu, X., Meignier, S., & Gauvain, J.-L. (2004). Improving speaker diarization. In Proc. fall rich transcription workshop (RT-04), Palisades, NY, Nov. 2004.

4. Ben, M., Betser, M., Bimbot, F., & Gravier, G. (2004). Speaker diarization using bottom-up clustering based on a parameter-derived distance between adapted GMMs. In Proceedings of the international conference on spoken language processing (ICSLP4), Jeju Islands, South Korea, October 2004.

5. Bimbot, F., Magrin-Chagnolleau, I., & Mathan, L. (1995). Second-order statistical measures for text-independent broadcaster identification. Speech Communication, 17(1–2), 177–192.

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1. Speaker Detection on Telephone Calls Using Fusion between SVMs and Statistical Measures;2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery;2013-10

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