Uzbek Speech Synthesis Using Deep Learning Algorithms-Reference-Cited by-同舟云学术

Uzbek Speech Synthesis Using Deep Learning Algorithms

Published:2023 Issue: Volume: Page:39-50
ISSN:0302-9743
Container-title:Intelligent Human Computer Interaction
language:
Short-container-title:

Author:

Abdullaeva M. I.^ORCID,Juraev D. B.^ORCID,Ochilov M. M.^ORCID,Rakhimov M. F.^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-27199-1_5

Reference24 articles.

1. Kireev, N.S., Ilyushin, E.A.: Review of existing algorithms for text-to-speech conversion. Int. J. Open Inf. Technol. 8(7) (2020). ISSN: 2307-8162

2. Rybin, S.V.: Textbook on the Discipline “Speech Synthesis”. SPb: ITMO University, 92 p., (2014)

3. Prahallad, K.: Automatic building of synthetic voices from audio books. School of Computer Science, Carnegie Mellon University, Pittsburgh, PA (2010). CMU-LTI-10-XXX, July 26

4. Allen, J., Hunnicutt, M.S., Klatt, D.H., Armstrong, R.C., Pisoni, D.B.: From Text to Speech: The MITalk System. Cambridge University Press, NY (1987)

5. Hunt, A., Black, A.: Unit selection in a concatenative speech synthesis system using a large speech database. In: Proc. ICASSP, pp. 373–376 (1996)

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