Nonparallel High-Quality Audio Super Resolution with Domain Adaptation and Resampling CycleGANs

Author:

Yoneyama Reo1,Yamamoto Ryuichi2,Tachibana Kentaro2

Affiliation:

1. Nagoya University,Japan

2. LINE Corp.,Japan

Publisher

IEEE

Reference32 articles.

1. Neural Vocoder is All You Need for Speech Super-resolution

2. NU-GAN: High resolution neural upsampling with GAN;kumar,2020

3. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

4. TUNet: A Block-Online Bandwidth Extension Model Based On Transformers And Self-Supervised Pretraining;viet anh;Proc ICASSP,2022

5. Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech;kim;Proc ICML,2021

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