Source-Filter HiFi-GAN: Fast and Pitch Controllable High-Fidelity Neural Vocoder

Author:

Yoneyama Reo1,Wu Yi-Chiao2,Toda Tomoki1

Affiliation:

1. Nagoya University,Japan

2. Meta Reality Labs Research,USA

Publisher

IEEE

Reference31 articles.

1. Generative Adversarial Nets;goodfellow;Proc NeurIPS,2014

2. Speech analysis/Synthesis based on a sinusoidal representation

3. MelGAN: Generative adversarial networks for conditional waveform synthesis;kumar;Proc NeurIPS,2019

4. Least Squares Generative Adversarial Networks

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

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1. PeriodGrad: Towards Pitch-Controllable Neural Vocoder Based on a Diffusion Probabilistic Model;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. FIRNet: Fundamental Frequency Controllable Fast Neural Vocoder With Trainable Finite Impulse Response Filter;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Sifisinger: A High-Fidelity End-to-End Singing Voice Synthesizer Based on Source-Filter Model;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. DeepGAN: A fast and high-quality time-domain-based neural vocoder for low-resource scenarios;Proceedings of the 2024 8th International Conference on Digital Signal Processing;2024-02-23

5. Fast Neural Speech Waveform Generative Models With Fully-Connected Layer-Based Upsampling;IEEE Access;2024

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