Improving Naturalness in Speech Synthesis Using Fuzzy Logic

Author:

Shah B. Gargi,Sajja S. Priti

Publisher

Springer Nature Singapore

Reference17 articles.

1. Brito JA (2009) A fuzzy-genetic approach for the computational modeling of speech articulatory processes. Sci Inform Syst 21(3):269–276. Retrieved from http://www.redalyc.org/articulo.oa?id=427739442009

2. Chala TD, Guta AC, Asebel MH (2022) Design and development of a text-to-speech synthesizer for Afan Oromo. SN Comput Sci A Springer Nat J 1–7. https://doi.org/10.1007/s42979-022-01306-7

3. Cuzzocrea A, Mumolo E, Grasso GM (2019) An effective and efficient genetic-fuzzy algorithm for supporting advanced human-machine interfaces in big data settings. MDPI 13(1):1–31. Retrieved from https://www.mdpi.com/1999-4893/13/1/13/htm

4. Jitca D, Apopei V, Grigoras F (2002) Improved speech synthesis using fuzzy logic. Int J Speech Technol 227–235. https://doi.org/10.1023/A:1020288622651

5. Lago E, Honijosa MA, Jimenez CJ, Barriga A, Sanchez-Solano S (1997) FPGA implementation of fuzzy controllers. In: XII conference on design of circuits and integrated systems (DCIS’97), pp 715–720

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