Unsupervised help-trained LS-SVR-based segmentation in speaker diarization system
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-018-6621-1.pdf
Reference59 articles.
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3. Anguera, X., Wooters, C., Peskin, B., and Aguiló, M. (2006). Robust Speaker Segmentation for Meetings: The ICSI-SRI Spring 2005 Diarization System. In Machine Learning for Multimodal Interaction, S. Renals, and S. Bengio, eds. (Springer Berlin Heidelberg), pp. 402–414.
4. Campbell WM, Campbell JP, Reynolds DA, Singer E, Torres-Carrasquillo PA (2006) Support vector machines for speaker and language recognition. Comput Speech Lang 20(2–3):210–229
5. Cumani S, Laface P (2014) Large-Scale Training of Pairwise Support Vector Machines for Speaker Recognition. IEEE/ACM Transactions on Audio, Speech, and Language Processing 22(11):1590–1600
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1. Feature Embedding Representation for Unsupervised Speaker Diarization in Telephone Calls;Communications in Computer and Information Science;2023-11-05
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