HMM speech synthesis based on MDCT representation

Author:

Biagetti Giorgio,Crippa Paolo,Falaschetti LauraORCID,Turchetti Claudio

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference71 articles.

1. Allen, J., Hunnicutt, M. S., Klatt, D. H., Armstrong, R. C., & Pisoni, D. B. (1987). From text to speech: The MITalk system. Cambridge: Cambridge University Press.

2. Benoît, C., Grice, M., & Hazan, V. (1996). The SUS test: A method for the assessment of text-to-speech synthesis intelligibility using semantically unpredictable sentences. Speech Communication, 18(4), 381–392.

3. Bertinetto, P. M. (1981). Strutture prosodiche dell’italiano: accento, quantità, sillaba, giuntura, fondamenti metrici. Firenze: Presso l’Accademia della Crusca.

4. Biagetti, G., Crippa, P., Falaschetti, L., Orcioni, S., & Turchetti, C. (2016). Learning HMM state sequences from phonemes for speech synthesis. Procedia Computer Science, 96, 1589–1596.

5. Black, A. W. (2006). CLUSTERGEN: A statistical parametric synthesizer using trajectory modeling. In Proceeding of 9th International conference on spoken language processing (INTERSPEECH 2006 - ICSLP), Pittsburgh.

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