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UNSUPERVISED TRAINING FOR MANDARIN BROADCAST NEWS AND…
mi.eng.cam.ac.uk/research/projects/AGILE/publications/wang_ICASSP07.pdf10 Oct 2007: UNSUPERVISED TRAINING FOR MANDARIN BROADCAST NEWS AND CONVERSATIONTRANSCRIPTION. L. Wang, M.J.F. ... Index Terms— Speech Recognition, unsupervised learning. 1. INTRODUCTION. For some tasks, such as Broadcast News (BN) transcription, audiodata can be -
Speaker Diarisation for Broadcast News S. E. Tranter† and ...
mi.eng.cam.ac.uk/reports/svr-ftp/tranter_odyssey04.pdf25 Mar 2004: Each data set consists of one 30 minute extract from 6different US broadcast news shows. ... 1999 DARPA Broadcast News Workshop,Herndon, VA, March 1999, pp. 183–186. [15] L. -
is2008.dvi
mi.eng.cam.ac.uk/research/projects/AGILE/publications/raut-interspeech08.pdf3 Dec 2008: 1. IntroductionSpeech recognition systems are increasingly being built withfound data such as broadcast news and conversational tele-phone speech recordings. ... This yields a set of speaker-specific test-set DLTs,which are then used for recognition. -
Audio Indexing and Retrieval of Complete Broadcast News Shows ...
mi.eng.cam.ac.uk/reports/svr-ftp/johnson_riao00.pdf10 Apr 2000: Audio Indexing and Retrieval of Complete Broadcast News Shows. S.E. Johnson†, P. ... 1999). Recognition, Indexing and Retrievalof British Broadcast News with the THISL System. -
Article Submitted to Computer Speech and Language Automatic…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kim_csl04.pdf9 Aug 2005: broadcast news and conversational speech over thetelephone, explicit indications of capitalised words are not given. ... Broadcast News provides a good test-bed for speech recognition, because it requiressystems to handle a wide range of speakers, a -
IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? ...
mi.eng.cam.ac.uk/research/projects/AGILE/publications/kai_ASP07.pdf10 Oct 2007: F. Gales. Abstract— Large vocabulary speech recognition systems areoften built using found data, such as broadcast news. ... I. INTRODUCTION. A DAPTIVE training [1], [2] has become increasinglypopular as greater use has been made of found data, suchas -
IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? ...
mi.eng.cam.ac.uk/research/projects/AGILE/publications/mjfg_ASL.pdf23 Feb 2006: The designof a real-time broadcast news recognition system is then detailedusing these new models. ... Gales et al.: THE CUED BROADCAST NEWS TRANSCRIPTION SYSTEM 3. Segmentation /#Segments #Clusters. -
Cluster Voting for Speaker Diarisation S.E.…
mi.eng.cam.ac.uk/reports/svr-ftp/tranter_tr476.pdf13 May 2004: 32.2 The Broadcast News Data for Diarisation. 32.3 Diarisation Scoring. 4. ... 02 Broadcast News Metadata speaker segmentation task (Martin 2002) which in turn devel-oped from the (multi-speaker) speaker segmentation task in the speaker recognition -
An Investigation into the Interactions betweenSpeaker Diarisation…
mi.eng.cam.ac.uk/reports/svr-ftp/tranter_tr464.pdf9 Oct 2003: 38. 7 Conclusions 42. 8 Acknowledgements 43. A Data 43A.1 Broadcast News Data. ... telephone speech (CTS) and both CUED and MIT-LL for broadcast news (BN). -
CAMBRIDGE UNIVERSITYENGINEERING DEPARTMENT GENERALISEDLINEAR GAUSSIAN …
mi.eng.cam.ac.uk/reports/svr-ftp/rosti_tr420.pdf26 Jan 2004: For example HMM based large vocabulary speech recognition systems havedominated the standard evaluation tasks such as Broadcast News Transcription and Switchboard.The benefits of using HMMs include efficient training and recognition ... On the otherhand, -
The Cambridge University March 2005 Speaker Diarisation System R. ...
mi.eng.cam.ac.uk/reports/full_html/sinha_eurospeech05.html/paper.pdf22 Sep 2005: 953–956. [5] J.-L. Gauvain, L. Lamel, and G. Adda, “Partitioning andTranscription of Broadcast News Data,” in Proc. ... A. Reynolds, “Speaker Diarisationfor Broadcast News,” in Proc. Odyssey Speaker and Lan-guage Recognition Workshop, June 2004, -
The State Based Mixture of Experts HMM with Applications ...
mi.eng.cam.ac.uk/reports/svr-ftp/tuerk_thesis.pdf2 Feb 2002: 7.2 Significance tests 90. 7.3 The 1997 Broadcast News task 91. ... broadcast news (Pallett et al., 1998; Pallett et al., 1999). In spite of these big advances, there still remain various types of data on which recognition. -
Named Entity Recognition from Speechand Its Use in the ...
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kim_thesis.pdf9 Aug 2005: for the 1998 NIST Hub-4 Information Extraction (Named Entity) Broadcast News Benchmark. ... broadcast news and to cope with input which does not have capitalisation information. -
thesis.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/nock_thesis.pdf14 Jun 2006: 3.1.2 Evidence From Other Authors. The DARPA HUB4E Broadcast News Evaluation includes both spontaneous and moreformal utterances in studio recording conditions. ... 72] finds differences in part-of-speechdistributions found in the conversational
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