Voice Reenactment with F0 and timing constraints and adversarial learning of conversions

Author:

Bous Frederik1,Benaroya Laurent1,Obin Nicolas1,Roebel Axel1

Affiliation:

1. STMS Lab IRCAM, CNRS, Sorbonne Université,Paris,France

Publisher

IEEE

Reference27 articles.

1. Evaluating Voice Conversion-Based Privacy Protection against Informed Attackers

2. Adversarial representation learning for private speech generation;ericsson;Workshop on Self-supervision in Audio and Speech at the International Conference on Machine Learning (ICML),2020

3. End-To-End Voice Conversion Via Cross-Modal Know ledge Distillation for Dysarthric Speech Reconstruction;wang;IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP),2020

4. StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks

5. StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion

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