FRE-GAN 2: Fast and Efficient Frequency-Consistent Audio Synthesis

Author:

Lee Sang-Hoon1,Kim Ji-Hoon2,Lee Kang-Eun2,Lee Seong-Whan1

Affiliation:

1. Korea University,Department of Brain and Cognitive Engineering,Seoul,Korea

2. Korea University,Department of Artificial Intelligence,Seoul,Korea

Publisher

IEEE

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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