Ensemble Deep Neural Network Based Waveform-Driven Stress Model for Speech Synthesis

Author:

Tóth Bálint Pál,Kis Kornél István,Szaszák György,Németh Géza

Publisher

Springer International Publishing

Reference17 articles.

1. Yoshimura, T., Tokuda, K., Masuko, T., Kobayashi, T., Kitamura, T.: Simultaneous modeling of spectrum, pitch and duration in HMM-based speech synthesis. In: Eurospeech, pp. 2347–2350 (1999)

2. Tomoki, T., Tokuda, K.: A speech parameter generation algorithm considering global variance for HMM-based speech synthesis. IEICE Trans. Inf. Syst. 90(5), 816–824 (2007)

3. Pitrelli, J.F., Beckman, M.E., Hirschberg, J.: Evaluation of prosodic transcription labeling reliability in the ToBI framework. In: International Conference on Spoken Language Processing, vol. 1, pp. 123–126 (1994)

4. Szaszák, G., Beke, A., Olaszy, G., Tóth, B.P.: Using automatic stress extraction from audio for improved prosody modeling in speech synthesis. In: 16th Annual Conference of the International Speech Communication Association, pp. 2227–2231 (2015)

5. Pitrelli, J.F., Beckman, M.E., Hirschberg, J.: Evaluation of prosodic transcription labeling reliability in the ToBI framework. In: International Conference on Spoken Language Processing, vol. 1, pp. 123–126 (1994)

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