Edinburgh Research Explorer

Prof Simon King

Personal Chair of Speech Processing

  1. 2015
  2. Sentence-level control vectors for deep neural network speech synthesis

    Watts, O., Wu, Z. & King, S., Sep 2015, INTERSPEECH 2015 16th Annual Conference of the International Speech Communication Association. International Speech Communication Association, p. 2217-2221 5 p.

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

  3. Towards minimum perceptual error training for DNN-based speech synthesis

    Valentini-Botinhao, C., Wu, Z. & King, S., Sep 2015, INTERSPEECH 2015 16th Annual Conference of the International Speech Communication Association. Dresden: International Speech Communication Association, p. 869-873 5 p.

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

  4. A Lattice-based Approach to Automatic Filled Pause Insertion

    Tomalin, M., Wester, M., Dall, R., Byrne, B. & King, S., 10 Aug 2015, Proc. of DiSS 2015, The 7th Workshop on Disfluencies in Spontaneous Speech. Edinburgh, 4 p.

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

  5. A reading list of recent advances in speech synthesis

    King, S., 10 Aug 2015, Proc. 18th International Congress of Phonetic Sciences (ICPhS). T. S. C. F. ICP. . (ed.). Glasgow, UK: University of Glasgow

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

  6. A perceptually-motivated low-complexity instantaneous linear channel normalization technique applied to speaker verification

    Poblete, V., Espic, F., King, S., Stem, R. M., Huenupan, F., Fredes, J. & Yoma, N. B., May 2015, In : Computer Speech and Language. 31, 1, p. 1-27 27 p.

    Research output: Contribution to journalArticle

  7. Deep neural networks employing multi-task learning and stacked bottleneck features for speech synthesis.

    Wu, Z., Valentini-Botinhao, C., Watts, O. & King, S., 1 Apr 2015, Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on. Brisbane, Australia, p. 4460-4464 5 p.

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

  8. Soft context clustering for F0 modeling in HMM-based speech synthesis

    Khorram, S., Sameti, H. & King, S., 9 Jan 2015, In : EURASIP Journal on Advances in Signal Processing. 2015, 1

    Research output: Contribution to journalArticle

  9. SAS: A Speaker Verification Spoofing Database Containing Diverse Attacks

    Wu, Z., Khodabakhsh, A., Demiroglu, C., Yamagishi, J., Saito, D., Toda, T. & King, S., 2015, Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on . Institute of Electrical and Electronics Engineers (IEEE), p. 4440-4444 5 p.

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

  10. 2014
  11. Voice source modelling using deep neural networks for statistical parametric speech synthesis

    Raitio, T., Lu, H., Kane, J., Suni, A., Vainio, M., King, S. & Alku, P., 1 Sep 2014, European Signal Processing Conference. European Signal Processing Conference, EUSIPCO, p. 2290-2294 5 p. 6952838

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

  12. Feature analysis for discriminative confidence estimation in spoken term detection

    Tejedor, J., Toledano, D. T., Wang, D., King, S. & Colas, J., Sep 2014, In : Computer Speech and Language. 28, 5, p. 1083–1114 32 p.

    Research output: Contribution to journalArticle

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