ASSEM-VC: Realistic Voice Conversion by Assembling Modern Speech Synthesis Techniques
Author:
Affiliation:
1. MINDsLab Inc,Republic of Korea
2. Seoul National University,Republic of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746139.pdf?arnumber=9746139
Reference24 articles.
1. Unsupervised speech decomposition via triple information bottleneck;qian;ICML,2020
2. Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion Without Parallel Data
3. Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
4. Mellotron: Multispeaker Expressive Voice Synthesis by Conditioning on Rhythm, Pitch and Global Style Tokens
5. Domain-adversarial training of neural networks;ganin;The Journal of Machine Learning Research,2016
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