Edinburgh Research Explorer

Prof Stephen Renals

Chair of Speech Technology

  1. 2019
  2. Lattice-based lightly-supervised acoustic model training

    Fainberg, J., Klejch, O., Renals, S. & Bell, P., 19 Sep 2019, Proceedings Interspeech 2019. International Speech Communication Association, p. 1596-1600 5 p.

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

  3. On Learning Interpretable CNNs with Parametric Modulated Kernel-based Filters

    Loweimi, E., Bell, P. & Renals, S., 19 Sep 2019, Proceedings Interspeech 2019. International Speech Communication Association, p. 3480-3484 5 p.

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

  4. Synchronising audio and ultrasound by learning cross-modal embeddings

    Eshky, A., Ribeiro, M., Richmond, K. & Renals, S., 19 Sep 2019, INTERSPEECH 2019: Proceedings of the 20th Annual Conference of the International Speech Communication Association (ISCA). Graz, Austria: International Speech Communication Association, p. 4100-4104 5 p.

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

  5. Trainable Dynamic Subsampling for End-to-End Speech Recognition

    Zhang, S., Loweimi, E., Xu, Y., Bell, P. & Renals, S., 19 Sep 2019, Proceedings Interspeech 2019. International Speech Communication Association, p. 1413-1417 5 p.

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

  6. Ultrasound tongue imaging for diarization and alignment of child speech therapy sessions

    Ribeiro, M., Eshky, A., Richmond, K. & Renals, S., 19 Sep 2019, INTERSPEECH 2019: Proceedings of the 20th Annual Conference of the International Speech Communication Association (ISCA). Graz, Austria: International Speech Communication Association, p. 16-20 5 p.

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

  7. Untranscribed web audio for low resource speech recognition

    Carmantini, A., Bell, P. & Renals, S., 19 Sep 2019, Proceedings Interspeech 2019. International Speech Communication Association, p. 226-230 5 p.

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

  8. Acoustic model adaptation from raw waveforms with Sincnet

    Fainberg, J., Klejch, O., Loweimi, E., Bell, P. & Renals, S., 13 Sep 2019, (Accepted/In press) Proceedings of the 2019 IEEE Automatic Speech Recognition and Understanding Workshop. Institute of Electrical and Electronics Engineers (IEEE), 8 p.

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

  9. Embeddings for DNN speaker adaptive training

    Równicka, J., Bell, P. & Renals, S., 13 Sep 2019, (Accepted/In press) Proceedings of the 2019 IEEE Automatic Speech Recognition and Understanding Workshop. Institute of Electrical and Electronics Engineers (IEEE), 8 p.

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

  10. Speaker adaptive training using model agnostic meta-learning

    Klejch, O., Fainberg, J., Bell, P. & Renals, S., 13 Sep 2019, (Accepted/In press) Proceedings of the 2019 IEEE Automatic Speech Recognition and Understanding Workshop. Institute of Electrical and Electronics Engineers (IEEE), 8 p.

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

  11. The MGB-5 Challenge: Recognition and Dialect Identification of Dialectal Arabic Speech

    Ali, A., Shon, S., Samih, Y., Mubarak, H., Abdelali, A., Glass, J., Renals, S. & Choukri, K., 13 Sep 2019, (Accepted/In press) Proceedings of the 2019 IEEE Automatic Speech Recognition and Understanding Workshop. Institute of Electrical and Electronics Engineers (IEEE), 8 p.

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

  12. Dynamic Evaluation of Transformer Language Models

    Krause, B., Mbabazi, E., Murray, I. & Renals, S., 17 Apr 2019, 6 p.

    Research output: Working paper

  13. On the Usefulness of Statistical Normalisation of Bottleneck Features for Speech Recognition

    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. 3862-3866 5 p.

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

  14. Speaker-Independent Classification of Phonetic Segments from Raw Ultrasound in Child Speech

    Ribeiro, M. S., Eshky, A., Richmond, K. & 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. 1328-1332 5 p.

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

  15. 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

  16. 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

  17. 2018
  18. Dynamic Evaluation of Neural Sequence Models

    Krause, B., Mbabazi, E., Murray, I. & Renals, S., 1 Oct 2018, Proceedings of the 35th International Conference on Machine Learning. Dy, J. & Krause, A. (eds.). Stockholmsmässan, Stockholm Sweden: PMLR, Vol. 80. p. 2766-2775 10 p. (Proceedings of Machine Learning Research).

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

  19. 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

  20. 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

  21. 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

  22. 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

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