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Online publications for Dr Tony Robinson
mi.eng.cam.ac.uk/reports/people/ajr.html27 Jul 2020: Contact:Title THE APPLICABILITY OF LANGUAGE MODEL ADAPTATION FOR THE BROADCAST NEWS TASK. ... Contact:Title REAL-TIME RECOGNITION OF BROADCAST RADIO SPEECH. Abstract: cook_icassp96. -
References [1] Control-DAG: Constrained decoding for…
mi.eng.cam.ac.uk/~wjb31/PUBS/29 Apr 2024: References. [1] Control-DAG: Constrained decoding for non-autoregressive directed acyclic T5 using weighted finite state automata, Jinghong Chen, Weizhe Lin, Jingbiao Mei, and Bill Byrne, 2024. To appear at NAACL’24. The Directed Acyclic -
INVESTIGATION OF ACOUSTIC MODELING TECHNIQUES FOR LVCSR SYSTEMS X. ...
mi.eng.cam.ac.uk/reports/svr-ftp/liu_icassp2005.pdf19 May 2005: Experimental results are pre-sented on both broadcast news (BN) and conversational telephonespeech (CTS) transcription tasks. ... Development ofthe CU-HTK 2004 Broadcast News Transcription System,Summited to ICASSP’05. [10] K. -
Speaker Clustering Using Direct Maximisation of the MLLR-Adapted…
mi.eng.cam.ac.uk/reports/full_html/johnson_icslp98.html/8 Mar 2000: This paper presents two strategies for clustering broadcast news data segments (found by an automatic segmentation algorithm) for subsequent MLLR adaptation. ... M A Siegler, U Jain, B Raj & R M Stern. Automatic Segmentation, Classification and -
The Cambridge University Spoken Document Retrieval System
mi.eng.cam.ac.uk/reports/full_html/johnson_icassp99.html/8 Mar 2000: its performance using automatic transcriptions of about 50 hours of broadcast news data. ... This system gave a word error rate of 16.2% in the 1997 DARPA Hub4 broadcast news evaluation. -
Abstract for cook_icassp96
mi.eng.cam.ac.uk/reports/abstracts/cook_icassp96.html27 Jul 2020: Abstract for cook_icassp96. Proc. ICASSP '96. REAL-TIME RECOGNITION OF BROADCAST RADIO SPEECH. ... Recognition results and latency figures are presented for speech collected from broadcast news segments on BBC Radio 4. -
THE APPLICABILITY OF ADAPTIVE LANGUAGE MODELLING FORTHE BROADCAST…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/clarkson_icslp98.pdf9 Aug 2005: THE APPLICABILITY OF ADAPTIVE LANGUAGE MODELLING FORTHE BROADCAST NEWS TASK. Philip Clarkson Tony Robinson. ... on cache-based and mixture-based modelsand their use on the Broadcast News task. -
Mark Gales - Publications
mi.eng.cam.ac.uk/~mjfg/publications.v1.html20 Dec 2011: Progress in the CU-HTK Broadcast News Transcription System. ... Sim and P.C. Woodland (2005). Development of the CU-HTK 2004 Broadcast News Transcription Systems. -
Online publications for Sue Tranter
mi.eng.cam.ac.uk/reports/people/sej28.html27 Jul 2020: Contact:Title AUDIO INDEXING AND RETRIEVAL OF COMPLETE BROADCAST NEWS SHOWS. Abstract: johnson_riao00. ... Contact:Title SEGMENT GENERATION AND CLUSTERING IN THE HTK BROADCAST NEWS TRANSCRIPTION SYSTEM. -
Abstract for johnson_trec7
mi.eng.cam.ac.uk/reports/abstracts/johnson_trec7.html27 Jul 2020: The broadcast news audio was transcribed using a 2-pass gender-dependent HTK speech recogniser which ran at 50 times real time and gave an overall word error rate of -
The Cambridge University Multimedia Document Retrieval Demo System
mi.eng.cam.ac.uk/reports/full_html/tuerk_sigir00demo.html/14 Aug 2000: This system gives a word error rate of 15.9% on the 1998 Hub4 broadcast news evaluation data. ... J. J. Odell, P. C. Woodland, and T. Hain. The CUHTK-Entropic 10xRT Broadcast News Transcription System. -
Abstract for jourlin_sigir99
mi.eng.cam.ac.uk/reports/abstracts/jourlin_sigir99.html27 Jul 2020: Sparck Jones & P.C. Woodland. August 1999. This paper presents the results from adding several forms of query expansion to our retrieval system running on several sets of transcriptions of broadcast ... news from the 1997 TREC-7 spoken document retrieval -
Abstract for johnson_icslp98
mi.eng.cam.ac.uk/reports/abstracts/johnson_icslp98.html27 Jul 2020: S.E. Johnson and P.C. Woodland. December 1998. In this paper speaker clustering schemes are investigated in the context of improving unsupervised adaptation for broadcast news transcription. -
General Query Expansion Techniques for Spoken Document Retrieval
mi.eng.cam.ac.uk/reports/full_html/jourlin_esca99.html/2 Mar 2000: The transcription of spoken documents was done using part of our HTK broadcast news transcription system [8]. ... J. Young. Segment Generation and Clustering in the HTK Broadcast News Transcription System [in Proc. -
ADAPTATION OF PRECISION MATRIX MODELS ON LARGE VOCABULARYCONTINUOUS…
mi.eng.cam.ac.uk/reports/svr-ftp/sim_icassp2005.pdf12 Apr 2005: Experimentalresults are presented based on the MPE trained Subspace for Pre-cision and Mean models, evaluated on both broadcast news andconversational telephone speech English tasks. ... Experimental results are presented based on two LVCSR Englishtasks: -
Abstract for evermann_icassp00
mi.eng.cam.ac.uk/reports/abstracts/evermann_icassp00.html27 Jul 2020: The effectiveness of these techniques is demonstrated on the broadcast news and the conversational telephone speech corpora where improvements both in terms of word error rate and normalised cross entropy were -
Abstract for johnson_mthesis
mi.eng.cam.ac.uk/reports/abstracts/johnson_mthesis.html27 Jul 2020: A full-scale implementation is then described and tested on data from the 1996 Broadcast News database. -
Abstract for tuerk_sigir00demo
mi.eng.cam.ac.uk/reports/abstracts/tuerk_sigir00demo.html27 Jul 2020: The system downloads the audio track of British and American news broadcasts from the Internet once a day and adds them to its archive. ... The audio, which comes in RealAudio format, is first converted into standard uncompressed format from which a -
Unsupervised Language Model Adaptation for Mandarin…
mi.eng.cam.ac.uk/reports/svr-ftp/mrva_icslp06.pdf20 Jan 2007: Al-though, broadcast news and broadcast conversation tasks are re-lated, this result shows their large mismatch. ... Component Training data. BNMENG mix of Mandarin and English newspa-pers, broadcast news, web,closed captions[5501400]. -
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].
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