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1 - 10 of 11 search results for `NEWS TRANSCRIPTION USING` |u:www.languagesciences.cam.ac.uk
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  2. Professor Phil Woodland | Cambridge Language Sciences

    https://www.languagesciences.cam.ac.uk/directory/pw117%40cam.ac.uk
    24 Jul 2024: The CU-HTK Mandarin broadcast news transcription system ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. ... 2002. Woodland, PC., 2002. The development of the HTK Broadcast News transcription system: An
  3. ALTA Institute | Cambridge Language Sciences

    https://www.languagesciences.cam.ac.uk/departments/alta-institute
    24 Jul 2024: Improving multiple-crowd-sourced transcriptions using a speech recogniser ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. ... IMPROVING MULTIPLE-CROWD-SOURCED TRANSCRIPTIONS USING A SPEECH RECOGNISER
  4. https://www.languagesciences.cam.ac.uk/taxonomy/term/45/feed

    https://www.languagesciences.cam.ac.uk/taxonomy/term/45/feed
    24 Jul 2024: and Rei, M., 2016. <i>Automatic text scoring using neural networks </i>54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers, v. ... K. and Young, SJ., 1999. <i>State-based Gaussian selection in large vocabulary
  5. Professor Steve Young | Cambridge Language Sciences

    https://www.languagesciences.cam.ac.uk/directory/sjy11%40cam.ac.uk
    24 Jul 2024: Segment generation and clustering in the HTK broadcast news transcription system Proceedings of the DARPA Broadcast News Transcription and Understanding Workshop,. ... Woodland, PC., Gales, MJF., Pye, D. and Young, SJ., 1997. Broadcast news transcription
  6. Department of Engineering | Cambridge Language Sciences

    https://www.languagesciences.cam.ac.uk/departments/Engineering
    24 Jul 2024: Deep Gaussian processes for regression using approximate expectation propagation 33rd International Conference on Machine Learning, ICML 2016, v. ... and Woodland, PC., 2012. Transcription of multi-genre media archives using out-of-domain data 2012 IEEE
  7. Professor Mark Gales | Cambridge Language Sciences

    https://www.languagesciences.cam.ac.uk/directory/mjfg100%40cam.ac.uk
    24 Jul 2024: and Tranter, SE., 2006. Progress in the CU-HTK broadcast news transcription system IEEE Transactions on Speech and Audio Processing, v. ... The CU-HTK Mandarin broadcast news transcription system ICASSP, IEEE International Conference on Acoustics, Speech
  8. ALTA Institute | Cambridge Language Sciences

    https://www.languagesciences.cam.ac.uk/taxonomy/term/45/%22/directory/grad-students%22
    24 Jul 2024: IMPROVING MULTIPLE-CROWD-SOURCED TRANSCRIPTIONS USING A SPEECH RECOGNISER 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP),. ... Improving multiple-crowd-sourced transcriptions using a speech recogniser ICASSP, IEEE
  9. https://www.languagesciences.cam.ac.uk/taxonomy/term/38/feed

    https://www.languagesciences.cam.ac.uk/taxonomy/term/38/feed
    24 Jul 2024: K. and Young, SJ., 1999. <i>State-based Gaussian selection in large vocabulary continuous speech recognition using HMMs </i>IEEE Transactions on Speech and Audio Processing, v. ... and Gales, MJF., 2015. <i>Improving multiple-crowd-sourced transcriptions
  10. Department of Engineering | Cambridge Language Sciences

    https://www.languagesciences.cam.ac.uk/taxonomy/term/38/%22/directory/other%22
    24 Jul 2024: Deep Gaussian processes for regression using approximate expectation propagation 33rd International Conference on Machine Learning, ICML 2016, v. ... and Woodland, PC., 2012. Transcription of multi-genre media archives using out-of-domain data 2012 IEEE
  11. ALTA Institute | Cambridge Language Sciences

    https://www.languagesciences.cam.ac.uk/taxonomy/term/45/%22/directory/academic_staff%22
    24 Jul 2024: Improving multiple-crowd-sourced transcriptions using a speech recogniser ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. ... IMPROVING MULTIPLE-CROWD-SOURCED TRANSCRIPTIONS USING A SPEECH RECOGNISER

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