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EARS Project at Cambridge University
mi.eng.cam.ac.uk/research/projects/EARS/6 May 2004: Conversational Telephone Speech System, acoustic modelling[English/Chinese]/language modelling[Chinese]]. Broadcast News Systems, acoustic modelling and adaptation]. ... Kit Thambiratnam (ajkt2@eng.cam.ac.uk) [ Broadcast News segmentation and clustering ] -
Mark Gales - Private Links
mi.eng.cam.ac.uk/~mjfg/private/14 Jun 2004: Private Links to MIL System. EARS Internal Web Page. EARS Project Presentations. -
Speaker Diarisation for Broadcast News
mi.eng.cam.ac.uk/reports/full_html/tranter_odyssey04.html/14 Jun 2004: task of identifying 'who spoke when' in broadcast news audio is particularly interesting and challenging. ... Tranter, L. Wang, and P. C. Woodland. Recent Advances in Broadcast News Transcription, [in Proc. -
CUHTK Brodacast News English Recipe
mi.eng.cam.ac.uk/~mjfg/private/CUHTK-BNE-Recipe/14 Jun 2004: CUHTK Brodacast News English Recipe. Introduction. The commands given below assume that the standard ears environment variables are set-up. ... DARPA Broadcast News Recognition Workshops. Last modified: Fri Oct 11 19:55:20 BST 2002. -
IMPROVING BROADCAST NEWS TRANSCRIPTION BY LIGHTLY…
mi.eng.cam.ac.uk/reports/svr-ftp/chan_icassp2004.pdf27 May 2004: IMPROVING BROADCAST NEWS TRANSCRIPTION BY LIGHTLY SUPERVISEDDISCRIMINATIVE TRAINING. H.Y. Chan & P.C. ... broadcast news data (TDT4 corpus) that were carefully chosen byclosed-caption filtering [3] [7]. -
Progress in Broadcast News English Transcription D.Y. Kim, M.J.F. ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/kim_sttmay04.pdf25 May 2004: Progress in Broadcast News English Transcription. D.Y. Kim, M.J.F. Gales, H.Y.Chan, P.C. -
Precision Matrix Modelling for LVCSR K.C. Sim & M.J.F. ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/sim_sttmay04.pdf27 May 2004: Broadcast News – English (BN):– Training dataset: bnac (144hr)– Test dataset: dev03 (3hr) & eval03 (3hr). • ... SPAM for CTS;– HLDASPAM for Broadcast News. • Candidate system combination branch for BN and CTS;. • -
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. -
CAMBRIDGE UNIVERSITYENGINEERING DEPARTMENT Automatic Transcription…
mi.eng.cam.ac.uk/~mjfg/hain_tr465.pdf23 Dec 2004: 6 Language Modelling and Word Lists. In most speech transcription tasks such as for example dictation or Broadcast News transcriptionlarge amounts of representative text data are available. ... 50000 most frequent words occurring in 204 million words -
Diarisation Research at CUED Sue Tranter and Srinivasan Umesh ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/tranter_mdetechmay04.pdf29 Apr 2004: Reference: The LIMSI Broadcast News transcription systemJean-Luc Gauvain, Lori Lamel and Gilles AddaSpeech Communication, Volume 37, Issues 1-2, May 2002, Pages 89-108. -
ADAPTIVE TRAINING USING STRUCTURED TRANSFORMS
mi.eng.cam.ac.uk/reports/svr-ftp/kai_icassp04st.pdf27 May 2004: INTRODUCTION. The majority of state-of-the-art speech recognition systems aretrained on found data, for example broadcast news and telephoneconversations. ... This is consistent with the gains that were obtainedon the Broadcast News task [11]. -
Cambridge STT Overview P.C. Woodland, H.Y. Chan, G. Evermann, ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/woodland_earsfeb04.pdf23 Mar 2004: Woodland et al.: Cambridge STT Overview. Outline. • Broadcast News. • Lightly supervised discriminative training. • ... Broadcast News: Segmentation and Clustering. • Running our evaluation system on different segmentations and clusters. • -
ADAPTIVE TRAINING USING STRUCTURED TRANSFORMS K. Yu and M.J.F. ...
mi.eng.cam.ac.uk/reports/svr-ftp/yu_icassp2004.pdf18 Jun 2004: The majority of state-of-the-art speech recognition systems aretrained onfounddata, for example broadcast news and telephoneconversations. ... This is consistent with the gains that were obtainedon the Broadcast News task [11]. -
EARS STT Overview Phil Woodland February 4th 2004 Cambridge ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/woodland_board_earsfeb04.pdf23 Mar 2004: STT Collaboration Examples. • Sharing & Preparing Data– Wordwave segmentations (BBN)– Common broadcast news development sets (LIMSI BBN,CU,SRI)– Shared TDT transcriptions (all sites working on broadcasts)– Shared CTS transcriptions (CU)– -
DEVELOPMENT OF THE 2003 CU-HTK CONVERSATIONAL TELEPHONE…
mi.eng.cam.ac.uk/reports/svr-ftp/evermann_icassp2004.pdf27 May 2004: A word-based 4-gram language model was trained on the acous-tic transcriptions, additional Broadcast News data (427M words oftext) plus 62M words of “conversational texts” collected from theWorld Wide ... Niesler, A.Tuerk, E.W.D. Whittaker and S.J. -
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. ... This corresponds to adverts in broadcast news shows, or speaker-attributable vocal noises suchas cough, breath, lipsmack, sneeze and laughter. -
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 -
Linear Gaussian Models for Speech Recognition
mi.eng.cam.ac.uk/reports/svr-ftp/rosti_thesis.pdf8 Oct 2004: Linear Gaussian Models for. Speech Recognition. Antti-Veikko Ilmari Rosti. Wolfson College. May 2004. Dissertation submitted to the University of Cambridge. for the degree of Doctor of Philosophy. ii. Declaration. This dissertation is the result of
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