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Rapid and Robust Environment Aware Processing
mi.eng.cam.ac.uk/~mjfg/REAP/index.html11 Mar 2011: The schemes developed should be flexible, in that they should be applicable to a wide range of tasks, for example both small and large vocabulary systems. ... recognition (Broadcast News Transcription). -
Abstract for woodland_darpa97
mi.eng.cam.ac.uk/reports/abstracts/speech/woodland_darpa97.html27 Jul 2020: Woodland, M.J.F. Gales, D. Pye & S.J. Young. April 1997. This paper describes our efforts in extending a large vocabulary speech recognition system to handle broadcast news transcription. ... It includes a number of new features compared to previous HTK -
Abstract for woodland_icassp97
mi.eng.cam.ac.uk/reports/abstracts/woodland_icassp97.html27 Jul 2020: Abstract for woodland_icassp97. Proceedings ICASSP'97. BROADCAST NEWS TRANSCRIPTION USING HTK. P.C. ... Woodland, M.J.F. Gales, D. Pye & S.J. Young. April 1997. This paper examines the issues in extending a large vocabulary speech recognition system -
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 -
The Cambridge University Multimedia Document Retrieval Demo System
mi.eng.cam.ac.uk/reports/full_html/tuerk_riao00demo.html/14 Aug 2000: The audio, which usually comes in RealAudio format, is first converted into standard uncompressed format from which a transcription is produced using our large vocabulary broadcast news recognition engine. ... The system gives a word error rate of 15.9% -
The Cambridge University Multimedia Document Retrieval Demo System
mi.eng.cam.ac.uk/reports/full_html/tuerk_sigir00demo.html/14 Aug 2000: The audio, which comes in RealAudio format, is first converted into standard uncompressed format from which a transcription is produced using our large vocabulary broadcast news recognition engine. ... J. J. Odell, P. C. Woodland, and T. Hain. The -
References [1] Control-DAG: Constrained decoding for…
mi.eng.cam.ac.uk/~wjb31/PUBS/29 Apr 2024: Minimum Bayes Risk (MBR) decoding can significantly improve translation performance of Multilingual Large Language Models (MLLMs). ... 18] The devil is in the details: On the pitfalls of vocabulary selection in neural machine translation. -
References [1] An inner table retriever for robust table ...
mi.eng.cam.ac.uk/~wjb31/bak.PUBS/3 Nov 2023: 12] The devil is in the details: On the pitfalls of vocabulary selection in neural machine translation. ... However, both SMT and neural sequence-to-sequence models require large amounts of annotated data. -
The Cambridge Multimedia Document Retrieval (MDR) Project : Summary…
mi.eng.cam.ac.uk/reports/full_html/sparckjones_cltr517.html/10 Oct 2001: Thus given a stream of broadcast news, passages relevant to the user's information need can be successfully (and preferentially) retrieved. ... But the generic approach to recognition has throughout been the same, using a 2-pass recogniser and a -
Discriminative Models for Speech RecognitionM.J.F. Gales Cambridge…
mi.eng.cam.ac.uk/~mjfg/mjfg_ita.pdf22 Feb 2007: Thishas allowed large vocabulary continuous speech recognition(LVCSR) tasks, such as Broadcast News transcription [1],to be addressed. ... J. Young, “Lattice-based discriminative training for large vocabulary speech recognition,”in Proc. -
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 -
Stimulated Deep Neural Network for Speech Recognition
mi.eng.cam.ac.uk/~mjfg/interspeech16_stimu.pdf26 Sep 2016: The approaches are eval-uated on two large vocabulary speech recognition tasks: a U.S.English broadcast news (BN) task and a Javanese conversationaltelephone speech task from the IARPA Babel program. ... There aretwo major contributions of this paper. -
Discriminative Models for Speech RecognitionM.J.F. Gales Cambridge…
mi.eng.cam.ac.uk/~mjfg/mjfg_ita_margin.pdf30 May 2007: Thishas allowed large vocabulary continuous speech recognition(LVCSR) tasks, such as Broadcast News transcription [1],to be addressed. ... J. Young, “Lattice-based discriminative training for large vocabulary speech recognition,”in Proc. -
IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? ...
mi.eng.cam.ac.uk/~mjfg/kai_ASP07.pdf23 Apr 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 -
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,
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