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Speaker diarisation
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1	IMPROVING SPEAKER DIARIZATION BY CROSS EM REFINEMENT Huazhong Ning Wei Xu, Yihong Gong Thomas Huang Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2006-11-17 00:31:30 Statistics Machine learning Cluster analysis Artificial intelligence Data mining Geostatistics Hierarchical clustering Speaker diarisation Image segmentation Mixture model Expectationmaximization algorithm Determining the number of clusters in a data set
2	Automatic speech recognition in media asset management Johanna Bj¨orklund, Emil Lundh Dept. Computing Science, CodeMill AB Ume˚a University, Riddaregatan 8, Ume˚a, 90336 Ume˚a , emil.lundh@cod Add to Reading List Source URL: www2.lingfil.uu.se Language: English - Date: 2014-10-16 02:37:16 Computing Speech recognition Human communication Information technology Records management Computational linguistics Computer accessibility Transcription Intelligent computer-assisted language instruction CMU Sphinx Speaker diarisation Medical transcription
3	SIGNAL PROCESSING MAGAZINE – MANUSCRIPT 1 Speech Segmentation and its Impact on Spoken Document Processing Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2011-09-08 14:44:26 Systemic functional linguistics Phonetics Computational linguistics Text segmentation Speech segmentation Speech recognition Prosody Image segmentation Formulaic language Word Intonation Speaker diarisation
4	TWO-WAY CLUSTER VOTING TO IMPROVE SPEAKER DIARISATION PERFORMANCE S. E. Tranter Cambridge University Engineering Department, Trumpington Street, Cambridge, CB2 1PZ, UK. Email: ABSTRACT A cluster-votin Add to Reading List Source URL: mi.eng.cam.ac.uk - Date: 2005-03-25 10:32:37
5	Speaker Diarisation for Broadcast News S. E. Tranter † and D. A. Reynolds ‡ † Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2004-03-25 08:42:35
6	An Investigation into the Interactions between Speaker Diarisation Systems and Automatic Speech Transcription †S.E. Tranter, †K. Yu, ‡D.A. Reynolds, †G. Evermann, †D.Y. Kim & †P.C. Woodland CUED/F-INFENG/TR-4 Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2003-10-09 12:42:29
7	The Cambridge University March 2005 Speaker Diarisation System R. Sinha, S. E. Tranter, M. J. F. Gales, P. C. Woodland Cambridge University Engineering Department Trumpington Street, Cambridge, CB2 1PZ, UK. Email:{rs460, Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2005-06-23 04:58:07
8	Cluster Voting for Speaker Diarisation S.E. Tranter CUED/F-INFENG/TR-476 1st MayAbstract: Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2004-05-13 12:55:00
9	INTERSPEECHDiscriminative Training for Hierarchical Clustering in Speaker Diarization Oriol Vinyals1,2 , Gerald Friedland2 , Nelson Morgan1,2 University of California, Berkeley, CA, USA International Computer Scie Add to Reading List Source URL: www.icsi.berkeley.edu Language: English - Date: 2011-01-14 19:48:19 Bayesian statistics Machine learning Cluster analysis Expectation–maximization algorithm Maximum likelihood Speech recognition Speaker diarisation Mixture model Bayesian information criterion Statistics Estimation theory Statistical theory
10	Live Speaker Identification in Conversations Gerald Friedland Oriol Vinyals International Computer Science Institute Add to Reading List Source URL: www.icsi.berkeley.edu Language: English - Date: 2010-05-07 17:06:30 Humanâ€“computer interaction Loudspeakers Speech recognition Speaker diarisation Speaker recognition Science Human communication Powered speakers Automatic identification and data capture Speech processing Computational linguistics