Edinburgh Research Explorer

Stephen Renals

Chair of Speech Technology

  1. Chapter (peer-reviewed) › Research › Not peer-reviewed
  2. Automatic speech recognition

    Renals, S. & King, S., Feb 2010, Handbook of Phonetic Sciences. Hardcastle, W. J., Laver, J. & Gibbon, F. E. (eds.). 2nd ed. Wiley-Blackwell, Vol. 1.

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

  3. Chapter (peer-reviewed) › Research › Peer-reviewed
  4. 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)

  5. Spoken dialogue interfaces for older people

    Vipperla, R., Wolters, M. & Renals, S., 2012, Advances in Home Care Technologies. Turner, K. J. (ed.). IOS Press, Vol. Volume 31: Advances in Home Care Technologies. p. 118-137 21 p.

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

  6. Poster › Research › Not peer-reviewed
  7. An Edinburgh Speech Production Facility

    Turk, A., Scobbie, J., Geng, C., Dickie, C., Bard, E., Hardcastle, W., Hartinger, M., King, S., Lickley, R., Renals, S., Richmond, K., Schaeffler, S., White, K. & Wrench, A., Jul 2010, (Unpublished).

    Research output: Contribution to conferencePoster

  8. Article › Research › Peer-reviewed
  9. A Cascaded Broadcast News Highlighter

    Christensen, H., Gotoh, Y. & Renals, S., Jan 2008, In : IEEE Transactions on Audio, Speech and Language Processing. 16, 1, p. 151-161 11 p.

    Research output: Contribution to journalArticle

  10. Accessing the spoken word

    Goldman, J., Renals, S., Bird, S., De Jong, F., Federico, M., Fleischhauer, C., Kornbluh, M., Lamel, L., Oard, D. W., Stewart, C. & Wright, R., 1 Aug 2005, In : International Journal on Digital Libraries. 5, 4, p. 287-298

    Research output: Contribution to journalArticle

  11. Acoustic-Articulatory Modeling With the Trajectory HMM

    Zhang, L. & Renals, S., 8 Feb 2008, In : IEEE Signal Processing Letters. 15, p. 245-248 4 p.

    Research output: Contribution to journalArticle

  12. Ageing voices: The effect of changes in voice parameters on ASR performance

    Vipperla, R., Renals, S. & Frankel, J., 2010, In : EURASIP Journal on Audio, Speech, and Music Processing. 10 p., 525783.

    Research output: Contribution to journalArticle

  13. Automatic Meeting Segmentation Using Dynamic Bayesian Networks

    Dielmann, A. & Renals, S., 1 Jan 2007, In : IEEE transactions on multimedia. 9, 1, p. 25-36

    Research output: Contribution to journalArticle

  14. Automatic Summarization of Voicemail Messages Using Lexical and Prosodic Features

    Koumpis, K. & Renals, S., 1 Feb 2005, In : ACM Transactions on Speech and Language Processing. 2, 1, 21 p., 1.

    Research output: Contribution to journalArticle

  15. Automatic analysis of multiparty meetings

    Renals, S., 1 Oct 2011, In : Sadhana - Academy Proceedings in Engineering Sciences. 36, 5, p. 917-932 16 p.

    Research output: Contribution to journalArticle

  16. Combining Spectral Representations for Large Vocabulary Continuous Speech Recognition

    Garau, G. & Renals, S., Mar 2008, In : IEEE Transactions on Audio, Speech and Language Processing. 16, 3, p. 508-518 11 p.

    Research output: Contribution to journalArticle

  17. Connectionist speech recognition of Broadcast News

    Robinson, A. J., Cook, G. D., Ellis, D. P. W., Fosler-Lussier, E., Renals, S. J. & Williams, D. A. G., May 2002, In : Speech Communication. 37, 1–2, p. 27-45 19 p.

    Research output: Contribution to journalArticle

  18. Content-based access to spoken audio

    Koumpis, K. & Renals, S., 1 Sep 2005, In : IEEE Signal Processing Magazine. 22, 5, p. 61-69

    Research output: Contribution to journalArticle

  19. Convolutional Neural Networks for Distant Speech Recognition

    Swietojanski, P., Ghoshal, A. & Renals, S., 1 Sep 2014, In : IEEE Signal Processing Letters. 21, 9, p. 1120-1124 5 p.

    Research output: Contribution to journalArticle

  20. 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 journalArticle

  21. Differentiable Pooling for Unsupervised Acoustic Model Adaptation

    Swietojanski, P. & Renals, S., Aug 2016, In : IEEE/ACM Transactions on Audio, Speech, and Language Processing. 24, 10, p. 1773-1784 12 p.

    Research output: Contribution to journalArticle

  22. 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

  23. Evaluation of a hierarchical reinforcement learning spoken dialogue system

    Cuayáhuitl, H., Renals, S., Lemon, O. & Shimodaira, H., Apr 2010, In : Computer Speech and Language. 24, 2, p. 395-429 35 p.

    Research output: Contribution to journalArticle

  24. Extrinsic Summarization Evaluation: A Decision Audit Task

    Murray, G., Kleinbauer, T., Poller, P., Becker, T., Renals, S. & Kilgour, J., 2009, In : ACM Transactions on Speech and Language Processing. 6, 2, p. 1-29 29 p.

    Research output: Contribution to journalArticle

  25. Extrinsic summarization evaluation: A decision audit task

    Murray, G., Kleinbauer, T., Poller, P., Becker, T., Renals, S. & Kilgour, J., 1 Oct 2009, In : ACM Transactions on Speech and Language Processing. 6, 2, p. 1-29 29 p., 2.

    Research output: Contribution to journalArticle

  26. Glottal spectral separation for speech synthesis

    Cabral, J., Richmond, K., Yamagishi, J. & Renals, S., Apr 2014, In : IEEE Journal of Selected Topics in Signal Processing. 8, 2, p. 195-208

    Research output: Contribution to journalArticle

  27. Hierarchical Bayesian Language Models for Conversational Speech Recognition

    Huang, S. & Renals, S., Nov 2010, In : IEEE Transactions on Audio, Speech and Language Processing. 18, 8, p. 1941-1954 14 p.

    Research output: Contribution to journalArticle

  28. Indexing and retrieval of broadcast news

    Renals, S., Abberley, D., Kirby, D. & Robinson, T., 1 Sep 2000, In : Speech Communication. 32, 1-2, p. 5-20

    Research output: Contribution to journalArticle

  29. Information extraction from broadcast news

    Gotoh, Y. & Renals, S., 15 Apr 2000, In : Philosophical Transactions A: Mathematical, Physical and Engineering Sciences. 358, 1769, p. 1295-1310

    Research output: Contribution to journalArticle

  30. 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 journalArticle

  31. Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation

    Swietojanski, P., Li, J. & Renals, S., May 2016, In : IEEE/ACM Transactions on Audio, Speech, and Language Processing. 24, 8, p. 1450-1463 14 p.

    Research output: Contribution to journalArticle

  32. Multitask Learning of Context-Dependent Targets in Deep Neural Network Acoustic Models

    Bell, P., Swietojanski, P. & Renals, S., Feb 2017, In : IEEE/ACM Transactions on Audio, Speech, and Language Processing. 25, 2, p. 238 - 247 10 p.

    Research output: Contribution to journalArticle

  33. Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human--Human and Human--Machine Interactions

    Vinciarelli, A., Esposito, A., André, E., Bonin, F., Chetouani, M., Cohn, J. F., Cristani, M., Fuhrmann, F., Gilmartin, E., Hammal, Z., Heylen, D., Kaiser, R., Koutsombogera, M., Potamianos, A., Renals, S., Riccardi, G. & Salah, A. A., Aug 2015, In : Cognitive Computation. 7, 4, p. 397-413 17 p.

    Research output: Contribution to journalArticle

  34. Phone deactivation pruning in large vocabulary continuous speech recognition

    Renals, S., 1 Jan 1996, In : IEEE Signal Processing Letters. 3, 1, p. 4-6 3 p.

    Research output: Contribution to journalArticle

  35. Practical Identifiability of Finite Mixtures of Multivariate Bernoulli Distributions

    Carreira-Perpiñán, M. Á. & Renals, S., 1 Jan 2000, In : Neural Computation. 12, 1, p. 141-152 12 p.

    Research output: Contribution to journalArticle

  36. 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 journalArticle

  37. Recognition of Dialogue Acts in Multiparty Meetings Using a Switching DBN

    Dielmann, A. & Renals, S., Sep 2008, In : IEEE Transactions on Audio, Speech and Language Processing. 16, 7, p. 1303-1314 12 p.

    Research output: Contribution to journalArticle

  38. Recording speech articulation in dialogue: Evaluating a synchronized double electromagnetic articulography setup

    Geng, C., Turk, A., Scobbie, J. M., Macmartin, C., Hoole, P., Richmond, K., Wrench, A., Pouplier, M., Bard, E., Campbell, Z., Dickie, C., Dubourg, E., Hardcastle, W., Kainada, E., King, S., Lickley, R., Nakai, S., Renals, S., White, K. & Wiegand, R., Nov 2013, In : Journal of Phonetics. 41, 6, p. 421-431 11 p.

    Research output: Contribution to journalArticle

  39. 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 journalArticle

  40. Robust Speaker-Adaptive HMM-Based Text-to-Speech Synthesis

    Yamagishi, J., Nose, T., Zen, H., Ling, Z. H., Toda, T., Tokuda, K., King, S. & Renals, S., Aug 2009, In : IEEE Transactions on Audio, Speech and Language Processing. 17, 6, p. 1208-1230 23 p.

    Research output: Contribution to journalArticle

  41. Small-footprint highway deep neural networks for speech recognition

    LU, L. & Renals, S., Jul 2017, In : IEEE/ACM Transactions on Audio, Speech, and Language Processing. 25, 7, p. 1502-1511 10 p.

    Research output: Contribution to journalArticle

  42. Speaker verification using sequence discriminant support vector machines

    Wan, V. & Renals, S., 1 Mar 2005, In : IEEE Transactions on Speech and Audio Processing. 13, 2, p. 203-210

    Research output: Contribution to journalArticle

  43. Speech Recognition Using Augmented Conditional Random Fields

    Hifny, Y. & Renals, S., Feb 2009, In : IEEE Transactions on Audio, Speech and Language Processing. 17, 2, p. 354-365 12 p.

    Research output: Contribution to journalArticle

  44. Speech and crosstalk detection in multichannel audio

    Wrigley, S. N., Brown, G. J., Wan, V. & Renals, S., 1 Jan 2005, In : IEEE Transactions on Speech and Audio Processing. 13, 1, p. 84-91

    Research output: Contribution to journalArticle

  45. Speech synthesis technologies for individuals with vocal disabilities: Voice banking and reconstruction

    Yamagishi, J., Veaux, C., King, S. & Renals, S., 2012, In : Acoustical Science and Technology. 33, 1, p. 1-5 5 p.

    Research output: Contribution to journalArticle

  46. The Edinburgh Speech Production Facility's articulatory corpus of spontaneous dialogue.

    Turk, A., Scobbie, J., Geng, C., Macmartin, C., Bard, E., Campbell, B., Dickie, C., Dubourg, E., Hardcastle, B., Hoole, P., Kanaida, E., Lickley, R., Nakai, S., Pouplier, M., King, S., Renals, S., Richmond, K., Schaeffler, S., Wiegand, R., White, K. & 1 others, Wrench, A., 2010, In : The Journal of the Acoustical Society of America. 128, 4, p. 2429-2429 1 p.

    Research output: Contribution to journalArticle

  47. Digital or Visual Products › Research
  48. The Edinburgh Speech Production Facility Dialogue Corpus

    Turk, A., Scobbie, J., Geng, C., Macmartin, C., King, S. & Renals, S., 2010

    Research output: Non-textual formDigital or Visual Products

  49. Working paper › Research
  50. Dynamic Evaluation of Transformer Language Models

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

    Research output: Working paper

  51. Tied Probabilistic Linear Discriminant Analysis for Speech Recognition

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

    Research output: Working paper

  52. Book › Research
  53. Machine Learning for Multimodal Interaction: Third International Workshop, MLMI 2006, Bethesda, MD, USA, May 1-4, 2006, Revised Selected Papers

    Renals, S. (ed.), Bengio, S. (ed.) & G. Fiscus, J. (ed.), 2006, Springer Berlin Heidelberg. (Lecture Notes in Computer Science; vol. 4299)

    Research output: Book/ReportBook

  54. Machine Learning for Multimodal Interaction: Second International Workshop, MLMI 2005, Edinburgh, UK, July 11-13, 2005, Revised Selected Papers

    Renals, S. (ed.) & Bengio, S. (ed.), 2006, Springer Berlin Heidelberg. (Lecture Notes in Computer Science; vol. 3869)

    Research output: Book/ReportBook

  55. Multimodal Signal Processing: Human Interactions in Meetings

    Renals, S., Bourlard, H., Carletta, J. & Popescu-Belis, A., Jul 2012, Cambridge University Press.

    Research output: Book/ReportBook

  56. Chapter › Research
  57. Audio-Visual Processing in Meetings: Seven Questions and Current AMI Answers

    Al-Hames, M., Hain, T., Cernocky, J., Schreiber, S., Poel, M., Müller, R., Marcel, S., van Leeuwen, D., Odobez, J-M., Ba, S., Bourlard, H., Cardinaux, F., Gatica-Perez, D., Janin, A., Motlicek, P., Reiter, S., Renals, S., van Rest, J., Rienks, R., Rigoll, G. & 3 others, Smith, K., Thean, A. & Zemcik, P., 2006, Machine Learning for Multimodal Interaction: Third International Workshop, MLMI 2006, Bethesda, MD, USA, May 1-4, 2006, Revised Selected Papers. Renals, S., Bengio, S. & Fiscus, J. G. (eds.). Berlin, Heidelberg: Springer Berlin Heidelberg, p. 24-35 12 p. (Lecture Notes in Computer Science; vol. 4299).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  58. Multimodal Integration for Meeting Group Action Segmentation and Recognition

    Al-Hames, M., Dielmann, A., Gatica-Perez, D., Reiter, S., Renals, S., Rigoll, G. & Zhang, D., 2006, Machine Learning for Multimodal Interaction: Second International Workshop, MLMI 2005, Edinburgh, UK, July 11-13, 2005, Revised Selected Papers: Second International Workshop, MLMI 2005. Renals, S. & Bengio, S. (eds.). Berlin, Heidelberg: Springer Berlin Heidelberg, p. 52-63 12 p. (Lecture Notes in Computer Science; vol. 3869).

    Research output: Chapter in Book/Report/Conference proceedingChapter

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