Emotional voice conversion using DBiLSTM-NN with MFCC and LogF0 features
Author:
Funder
Humanities and social science research projects
National Postdoctoral Program for Innovative Talents
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19334-1.pdf
Reference32 articles.
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4. Liu R, Sisman B, Gao G, Li H (2021) Expressive TTS Training with frame and style reconstruction loss. In IEEE/ACM Transactions on Audio, Speech, and Language Processing 29:1806–1818. https://doi.org/10.1109/TASLP.2021.3076369
5. Tits N, El Haddad K, Dutoit T (2019) Exploring transfer learning for low resource emotional tts. In: Proceedings of SAI Intelligent Systems Conference. Springer, pp 52–60
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