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Abstract for chan_icassp2004
mi.eng.cam.ac.uk/reports/abstracts/chan_icassp2004.html27 Jul 2020: H.Y. Chan and P.C. Woodland. May 2004. In this paper, we present our experiments on lightly supervised discriminative training with large amounts of broadcast news data for which only ... In a 5xRT broadcast news transcription system that includes -
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: Lightly supervised discriminative training on TDT data. • Improve the English Broadcast News system by adding large amounts of TDTdata. – ... Experiments with Fisher Data. • Initial experiments on using large amounts of Fisher data. • -
K. Yu, M.J.F. Gales and P.C. Woodland Cambridge University ...
mi.eng.cam.ac.uk/~mjfg/yu-interspeech07.pdf11 Jan 2008: However, in order totrain the acoustic models word level transcriptions are also required.Hence the major cost of using large amounts of broadcast data is theprovision of accurate manual transcriptions. ... 9] J. Ma, S. Matsoukas, O. Kimball, & R. -
IMPROVING BROADCAST NEWS TRANSCRIPTION BY LIGHTLY…
mi.eng.cam.ac.uk/reports/svr-ftp/chan_icassp2004.pdf27 May 2004: ABSTRACT. In this paper, we present our experiments on lightly superviseddiscriminative training with large amounts of broadcast news datafor which only closed caption transcriptions are available (TDTdata). ... In English broadcast news, large amounts -
K. Yu, M.J.F. Gales and P.C. Woodland Cambridge University ...
mi.eng.cam.ac.uk/research/projects/AGILE/publications/yu-interspeech07.pdf10 Oct 2007: However, in order totrain the acoustic models word level transcriptions are also required.Hence the major cost of using large amounts of broadcast data is theprovision of accurate manual transcriptions. ... 9] J. Ma, S. Matsoukas, O. Kimball, & R. -
CONFIDENCE ESTIMATION AND DELETION PREDICTION USINGBIDIRECTIONAL…
mi.eng.cam.ac.uk/~mjfg/ALTA/publications/SLT2018_ragni.pdf31 Aug 2019: 19] J. Ma, S. Matsoukas, O. Kimball, and R. Schwartz, “Unsu-pervised training on large amounts of broadcast news data,” inICASSP, 2006. ... 28] J. Ma and S. Matsoukas, “Unsupervised training on a largeamount of Arabic broadcast news data,” in -
Recent Progress in Large Vocabulary ContinuousSpeech Recognition: An…
mi.eng.cam.ac.uk/~mjfg/icassp06_tutorial.pdf22 Feb 2007: Broadcast News (BN)– Single audio stream with many talkers, styles, noise conditions, bandwiths– Much of it prepared speech from anchor speakers but some conversational– Need to segment for normalisation/adaptation– For ... English: 200h of -
IEEE TRANS. ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2007 ...
mi.eng.cam.ac.uk/~mjfg/gales_ASL.pdf22 Nov 2006: In the last coupleof years the availability of large amounts of roughly transcribedacoustic training data and advanced model training techniqueshas offered the opportunity to greatly reduce the error rate onthis task. ... As discussed in section III-A, -
tech.dvi
mi.eng.cam.ac.uk/~mjfg/liao_tr552.pdf21 Sep 2007: trained on multistyle data sets such as broadcast news or conversational telephone speech. ... large vocabulary Broadcast News corpus of collected broadcast recordings. 1 Introduction. -
IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? ...
mi.eng.cam.ac.uk/research/projects/AGILE/publications/mjfg_ASL.pdf23 Feb 2006: In the last coupleof years the availability of large amounts of roughly transcribedacoustic training data and advanced model training techniqueshas offered the opportunity to greatly reduce the error rate onthis task. ... As discussed in section III-A,
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