Speaker diarisation

Results: 24



#Item
1Statistics / 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

IMPROVING SPEAKER DIARIZATION BY CROSS EM REFINEMENT Huazhong Ning Wei Xu, Yihong Gong Thomas Huang

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Source URL: www.ifp.illinois.edu

Language: English - Date: 2006-11-17 00:31:30
2Computing / Speech recognition / Human communication / Information technology / Records management / Computational linguistics / Computer accessibility / Transcription / Intelligent computer-assisted language instruction / CMU Sphinx / Speaker diarisation / Medical transcription

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

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Source URL: www2.lingfil.uu.se

Language: English - Date: 2014-10-16 02:37:16
3Systemic functional linguistics / Phonetics / Computational linguistics / Text segmentation / Speech segmentation / Speech recognition / Prosody / Image segmentation / Formulaic language / Word / Intonation / Speaker diarisation

SIGNAL PROCESSING MAGAZINE – MANUSCRIPT 1 Speech Segmentation and its Impact on Spoken Document Processing

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Source URL: www.cs.nyu.edu

Language: English - Date: 2011-09-08 14:44:26
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

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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

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    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

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      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,

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        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:

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          Source URL: mi.eng.cam.ac.uk

          Language: English - Date: 2004-05-13 12:55:00
            9Bayesian statistics / Machine learning / Cluster analysis / Expectation–maximization algorithm / Maximum likelihood / Speech recognition / Speaker diarisation / Mixture model / Bayesian information criterion / Statistics / Estimation theory / Statistical theory

            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

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            Source URL: www.icsi.berkeley.edu

            Language: English - Date: 2011-01-14 19:48:19
            10Human–computer interaction / Loudspeakers / Speech recognition / Speaker diarisation / Speaker recognition / Science / Human communication / Powered speakers / Automatic identification and data capture / Speech processing / Computational linguistics

            Live Speaker Identification in Conversations Gerald Friedland Oriol Vinyals International Computer Science Institute

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            Source URL: www.icsi.berkeley.edu

            Language: English - Date: 2010-05-07 17:06:30
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