Edinburgh Research Explorer

Stephen Renals

Chair of Speech Technology

  1. Regularized subspace Gaussian mixture models for cross-lingual speech recognition

    Lu, L., Ghoshal, A. & Renals, S., 2011, Automatic Speech Recognition and Understanding (ASRU), 2011 IEEE Workshop on. Institute of Electrical and Electronics Engineers (IEEE), p. 365-370 6 p.

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

  2. Segmental Recurrent Neural Networks for End-to-end Speech Recognition

    Lu, L., Kong, L., Dyer, C., Smith, N. A. & Renals, S., 12 Sep 2016, Proceedings of Interspeech 2016. San Francisco, United States, p. 385-389 5 p. (Interspeech).

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

  3. On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition

    Lu, L., Zhang, X. & Renals, S., Mar 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers (IEEE), p. 5060-5064 5 p.

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

  4. Probabilistic Linear Discriminant Analysis with Bottleneck Features for Speech Recognition

    Lu, L. & Renals, S., 2014, INTERSPEECH-2014. International Speech Communication Association, p. 910-914 5 p.

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

  5. Maximum a posteriori adaptation of subspace Gaussian mixture models for cross-lingual speech recognition

    Lu, L., Ghoshal, A. & Renals, S., 2012, Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on. Institute of Electrical and Electronics Engineers (IEEE), p. 4877-4880 4 p.

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

  6. Probabilistic Linear Discriminant Analysis for Acoustic Modeling

    Lu, L. & Renals, S., 1 Jun 2014, In: IEEE Signal Processing Letters. 21, 6, p. 702-706 5 p.

    Research output: Contribution to journalArticlepeer-review

  7. Acoustic Data-driven Pronunciation Lexicon for Large Vocabulary Speech Recognition

    Lu, L., Ghoshal, A. & Renals, S., 2013, Automatic Speech Recognition and Understanding (ASRU), 2013 IEEE Workshop on. Institute of Electrical and Electronics Engineers (IEEE)

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

  8. Feature-space Speaker Adaptation for Probabilistic Linear Discriminant Analysis Acoustic Models

    Lu, L. & Renals, S., 11 Sep 2015, INTERSPEECH 2015 16th Annual Conference of the International Speech Communication Association. p. 2862-2866 5 p.

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

  9. Small-footprint Deep Neural Networks with Highway Connections for Speech Recognition

    Lu, L. & Renals, S., 12 Sep 2016, Proceedings of Interspeech 2016. San Francisco, United States, 5 p. (Interspeech).

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

  10. Tied Probabilistic Linear Discriminant Analysis for Speech Recognition

    Lu, L. & Renals, S., 30 Nov 2014, (Submitted) 5 p.

    Research output: Working paper

  11. Joint Uncertainty Decoding with Unscented Transform for Noise Robust Subspace Gaussian Mixture Models

    Lu, L., Ghoshal, A. & Renals, S., 1 Sep 2012, SAPA - SCALE Conference Proceedings.

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

  12. Regularized Subspace Gausian Mixture Models for Speech Recognition

    Lu, L., Ghoshal, A. & Renals, S., 2011, In: IEEE Signal Processing Letters. 18, 7, p. 419-422 4 p.

    Research output: Contribution to journalArticlepeer-review

  13. Cross-Lingual Subspace Gaussian Mixture Models for Low-Resource Speech Recognition

    Lu, L., Ghoshal, A. & Renals, S., 2014, In: IEEE/ACM Transactions on Audio, Speech, and Language Processing. 22, 1, p. 17-27 11 p.

    Research output: Contribution to journalArticlepeer-review

  14. Joint Uncertainty Decoding for Noise Robust Subspace Gaussian Mixture Models

    Lu, L., Chin, K. K., Ghoshal, A. & Renals, S., Sep 2013, In: IEEE Transactions on Audio, Speech and Language Processing. 21, 9, p. 1791-1804 14 p.

    Research output: Contribution to journalArticlepeer-review

  15. A Study of the Recurrent Neural Network Encoder-Decoder for Large Vocabulary Speech Recognition

    Lu, L., Zhang, X., Cho, K. & Renals, S., Sep 2015, INTERSPEECH 2015 16th Annual Conference of the International Speech Communication Association. p. 3249-3253 5 p.

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

  16. Multi-frame factorisation for long-span acoustic modelling

    Lu, L. & Renals, S., 2015, Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing. 5 p.

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

  17. Noise Compensation for Subspace Gaussian Mixture Models.

    Lu, L., Chin, K. K., Ghoshal, A. & Renals, S., 2012, INTERSPEECH 2012 13th Annual Conference of the International Speech Communication Association. ISCA, p. 306-309 4 p.

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

  18. DropClass and DropAdapt: Dropping classes for deep speaker representation learning

    Luu, C., Bell, P. & Renals, S., 18 May 2020, Proceedings of Odyssey 2020 The Speaker and Language Recognition Workshop. International Speech Communication Association, p. 357-364 8 p.

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

  19. Channel Adversarial Training for Speaker Verification and Diarization

    Luu, C., Bell, P. & Renals, S., 14 May 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers (IEEE), p. 7094-7098 5 p.

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

  20. Detecting Action Items in Meetings

    Murray, G. & Renals, S., 2008, Machine Learning for Multimodal Interaction: 5th International Workshop, MLMI 2008, Utrecht, The Netherlands, September 8-10, 2008. Proceedings. Popescu-Belis, A. & Stiefelhagen, R. (eds.). Springer Berlin Heidelberg, p. 208-213 6 p. (Lecture Notes in Computer Science; vol. 5237).

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

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