Research on Realization of Yi Speech Synthesis in Robot
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-96908-0_40
Reference12 articles.
1. Takamichi, S., Sonobe, R., Mitsui, K., et al.: JSUT and JVS: free Japanese voice corpora for accelerating speech synthesis research. Acoust. Sci. Technol. 41(5), 761–768 (2020)
2. Li, D.: Design of English text-to-speech conversion algorithm based on machine learning. J. Intell. Fuzzy Syst. 40(2), 2433–2444 (2021)
3. Fong, A., Usman, M.: Machine learning for end consumers. IEEE Consum. Electron. Mag. 9(5), 77–78 (2020)
4. Song, E., Soong, F.K., Kang, H.G.: Effective spectral and excitation modeling techniques for LSTM-RNN-based speech synthesis systems. IEEE/ACM Trans. Audio Speech Lang. Process. 25(11), 2152–2161 (2017)
5. Filntisis, P.P., Katsamanis, A., Tsiakoulis, P., et al.: Video-realistic expressive audio-visual speech synthesis for the Greek language. Speech Commun. 95, 137–152 (2017)
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