MelGAN
MelGAN is a neural vocoder designed for efficient and high-quality speech synthesis. It utilizes generative adversarial networks to convert mel-spectrograms into audio waveforms in real-time.
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MelGAN is a neural vocoder designed for efficient and high-quality speech synthesis. It utilizes generative adversarial networks to convert mel-spectrograms into audio waveforms in real-time.
WaveGlow is a flow-based generative model designed for high-quality speech synthesis. It combines normalizing flows with a neural network architecture to generate audio waveforms directly from mel-spectrograms.
HiFi-GAN is a deep learning-based neural vocoder designed for high-fidelity speech synthesis. It uses generative adversarial networks to efficiently produce natural-sounding audio waveforms from mel-spectrograms.