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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 ]

14 Jun 2004: Private Links to MIL System. EARS Internal Web Page. EARS Project Presentations.

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.

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.

27 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].

25 May 2004: Progress in Broadcast News English Transcription. D.Y. Kim, M.J.F. Gales, H.Y.Chan, P.C.

27 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;. •

25 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.

23 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

29 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.

27 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].

23 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. •

18 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].

23 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)–

27 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.

13 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.

26 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

8 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