DeepGAN: A fast and high-quality time-domain-based neural vocoder for low-resource scenarios

Author:

Jiang Yuan1ORCID,Bao Shun2ORCID,Hu Yajun2ORCID,Liu Lijuan2ORCID,Hu Guoping2ORCID,Ai Yang1ORCID,Ling Zhenhua1ORCID

Affiliation:

1. University of Science and Technology of China, China

2. iFLYTEK Research, iFLYTEK Co., Ltd., China

Publisher

ACM

Reference22 articles.

1. Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative adversarial nets. Advances in neural information processing systems 27 (2014).

2. Keith Ito and Linda Johnson. 2017. The lj speech dataset. 2017. URL https://keithito. com/LJ-Speech-Dataset (2017).

3. UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

4. Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aaron Oord, Sander Dieleman, and Koray Kavukcuoglu. 2018. Efficient neural audio synthesis. In Proc. ICML. PMLR, 2410–2419.

5. Jungil Kong, Jaehyeon Kim, and Jaekyoung Bae. 2020. HiFi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis. Advances in neural information processing systems 33 (2020), 17022–17033.

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