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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.
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