A Review on Speech Synthesis Based on Machine Learning-Reference-Cited by-同舟云学术

A Review on Speech Synthesis Based on Machine Learning

Published:2022 Issue: Volume: Page:23-35
ISSN:1865-0929
Container-title:Artificial Intelligence and Speech Technology
language:
Short-container-title:

Author:

Kumari Ruchika,Dev Amita,Kumar Ashwni

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-95711-7_3

Reference37 articles.

1. Kumari, R., Dev, A., Kumar, A.: Automatic segmentation of hindi speech into syllable-like units. Int. J. Adv. Comput. Sci. Appl. 11(6), 400–406 (2020)

2. Kumari, R., Dev, A., Kumar, A.: Development of syllable dominated Hindi speech corpora. Int. Conf. Artif. Intell. Speech Technol. (AIST2019) 8(3), 1−9 (2019)

3. Macchi, M.: Issues in text-to-speech synthesis. In: Proceedings of the IEEE International Joint Symposia on Intelligence and Systems (Cat. No. 98EX174), pp. 318–325 (1998)

4. Baby, A., Prakash, J.J., Subramanian, A.S., Murthy, H.A.: Significance of spectral cues in automatic speech segmentation for Indian language speech synthesizers. Speech Commun. 123, 10–25 (2020)

5. Kumari, R., Dev, A., Bayana, A., Kumar, A.: Machine learning techniques in speech generation: a review. J. Adv. Res. Dyn. Control Syst. 9, 1095–1110 (2019)

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