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RIVA Hifigan Male 1

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GAN-based waveform generator from mel-spectrograms.



Use Case

Nvidia Riva Ea



Latest Version



October 13, 2022


53.17 MB

This model is deprecated, please use the RIVA EnglishUS Hifigan

Speech Synthesis: HifiGAN Model Card

Model overview

HifiGAN is a neural vocoder model for text-to-speech applications. It is intended as the second part of a two-stage speech synthesis pipeline, with a mel-spectrogram generator such as FastPitch as the first stage.

Model architecture

HifiGAN is a neural vocoder based on a generative adversarial network framework, During training, the model uses a powerful discriminator consisting of small sub-discriminators, each one focusing on specific periodic parts of a raw waveform. The generator is very fast and has a small footprint, while producing high quality speech.



This model is trained on a proprietary dataset sampled at 44100Hz, and can be used to generate male English voices with an American accent.

How to use this model

HifiGAN is intended to be used as the second part of a two stage speech synthesis pipeline. HifiGAN takes a mel spectrogram and returns audio.

Input: Mel spectrogram of shape (batch x mel_channels x time)
Output: Audio of shape (batch x time)




HifiGAN paper:


By downloading and using the models and resources packaged with TLT Conversational AI, you would be accepting the terms of the Riva license.

Ethical AI

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