A CONTROLLABLE CROSS-GENDER VOICE CONVERSION FOR SOCIAL ROBOT

• Published in: 2022 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) pp. 1 - 4
• Main Authors: Fu, Changzeng, Liu, Chaoran, Ishi, Carlos Toshinori, Ishiguro, Hiroshi
• Format: Conference Proceeding
• Language: English; Japanese
• Published: IEEE 18.10.2022
• Subjects: Affective computing; Computational modeling; Conferences; Controllability; cycle-consistent adversarial networks; Self-supervised learning; Social robots; speech conversion; Training; transformer
• DOI: 10.1109/ACIIW57231.2022.10086038

In this study, we propose a conversion intensity controllable model for voice conversion (VC) 1. . In particular, we combine the CycleGAN and transformer module, and build a condition embedding network as a control parameter. The model is first pre-trained with self-supervised learning on the voice...