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1 - 5 of 5 search results for `such as Broadcast News` |u:mi.eng.cam.ac.uk

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  2. Who Really Spoke When? Finding Speaker Turns and Identities in…

    mi.eng.cam.ac.uk/reports/full_html/tranter_icassp06.html/
    9 Dec 2006: Who Really Spoke When? Finding Speaker Turns and Identities in Broadcast News Audio. ... For example, speaker models can be built for people who are likely to be in the broadcast (such as prominent politicians or main news anchors and reporters).

  3. paper.dvi

    mi.eng.cam.ac.uk/~mjfg/liao_INTER06.pdf
    22 Nov 2006: This is especially thecase when there is no other additional constraints such as a lan-guage model, e.g. ... Major limitations of this paper are thatexperiments are conducted on artificially corrupted data and as-sume noise stationarity; however, recent

  4. Joint Uncertainty Decoding for Noise Robust Speech Recognition H. ...

    mi.eng.cam.ac.uk/~mjfg/liao_INTER05.pdf
    19 Dec 2006: Front-end CMLLRAs it is useful to compare the uncertainty decoding schemes toapproaches such as CMLLR, CMLLR can be modified to usea GMM front-end selection process. ... Future work will examine real found data, suchas broadcast news, and the application

  5. WHO REALLY SPOKE WHEN?FINDING SPEAKER TURNS AND IDENTITIES IN ...

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_icassp06.pdf
    9 Dec 2006: WHO REALLY SPOKE WHEN?FINDING SPEAKER TURNS AND IDENTITIES IN BROADCAST NEWS AUDIO. ... For exam-ple, speaker models can be built for people who are likely to be inthe broadcast (such as prominent politicians or main news anchorsand reporters).

  6. WHO REALLY SPOKE WHEN?FINDING SPEAKER TURNS AND IDENTITIES IN ...

    mi.eng.cam.ac.uk/reports/full_html/tranter_icassp06.html/paper.pdf
    9 Dec 2006: WHO REALLY SPOKE WHEN?FINDING SPEAKER TURNS AND IDENTITIES IN BROADCAST NEWS AUDIO. ... For exam-ple, speaker models can be built for people who are likely to be inthe broadcast (such as prominent politicians or main news anchorsand reporters).

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