FRE-GAN 2: Fast and Efficient Frequency-Consistent Audio Synthesis
Author:
Affiliation:
1. Korea University,Department of Brain and Cognitive Engineering,Seoul,Korea
2. Korea University,Department of Artificial Intelligence,Seoul,Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746675.pdf?arnumber=9746675
Reference28 articles.
1. Waveglow: A Flow-based Generative Network for Speech Synthesis
2. MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis;kumar;Advances in Neural IInformation Processing Systems,2019
3. Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram
4. HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis;kong;Advances in Neural IInformation Processing Systems,2020
5. StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive Normalization
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