Edinburgh Research Explorer

Stephen Renals

Chair of Speech Technology

  1. 2019
  2. Windowed Attention Mechanisms for Speech Recognition

    Zhang, S., Loweimi, E., Bell, P. & Renals, S., 17 Apr 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Brighton, United Kingdom: Institute of Electrical and Electronics Engineers (IEEE), p. 7100-7104 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Analyzing deep CNN-based utterance embeddings for acoustic model adaptation

    Równicka, J., Bell, P. & Renals, S., 14 Feb 2019, 2018 IEEE Spoken Language Technology Workshop (SLT). Institute of Electrical and Electronics Engineers (IEEE), p. 235-241 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. 2018
  5. Dynamic Evaluation of Neural Sequence Models

    Krause, B., Kahembwe, E., Murray, I. & Renals, S., 15 Jul 2018, Proceedings of the 35th International Conference on Machine Learning. Dy, J. & Krause, A. (eds.). Stockholmsmässan, Stockholm Sweden: PMLR, p. 2766-2775 10 p. (Proceedings of Machine Learning Research; vol. 80).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. Word Error Rate Estimation for Speech Recognition: e-WER

    Ali, A. & Renals, S., Jul 2018, Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Melbourne, Australia : Association for Computational Linguistics (ACL), p. 20-24 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. Hierarchical recurrent neural network for story segmentation using fusion of lexical and acoustic features

    Tsunoo, E., Klejch, O., Bell, P. & Renals, S., 25 Jan 2018, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). Institute of Electrical and Electronics Engineers (IEEE), p. 525-532 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. Simplifying very deep convolutional neural network architectures for robust speech recognition

    Rownicka, J., Renals, S. & Bell, P., 25 Jan 2018, IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2017). Institute of Electrical and Electronics Engineers (IEEE), p. 236-243 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  9. Speech Recognition Challenge in the Wild: Arabic MGB-3

    Ali, A., Vogel, S. & Renals, S., 25 Jan 2018, IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2017). Institute of Electrical and Electronics Engineers (IEEE), p. 316-322 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  10. WERd: Using Social Text Spelling Variants for Evaluating Dialectal Speech Recognition

    Ali, A., Nakov, P., Bell, P. & Renals, S., 25 Jan 2018, IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2017). Institute of Electrical and Electronics Engineers (IEEE), p. 141-148 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  11. 2017
  12. Distant Speech Recognition Experiments Using the AMI Corpus

    Renals, S. & Swietojanski, P., 30 Oct 2017, New Era for Robust Speech Recognition: Exploiting Deep Learning. Springer, p. 355-368 14 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  13. End-to-end neural segmental models for speech recognition

    Hao, T., Lu, L., Kong, L., Gimpel, K., Livescu, K., Dyer, C., Smith, N. A. & Renals, S., 14 Sep 2017, In : IEEE Journal of Selected Topics in Signal Processing. 11, 8, p. 1254-1264 11 p.

    Research output: Contribution to journalArticle

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