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Riva TTS Spanish US HifiGan

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HifiGan model finetuned on Spanish US fastpitch ipa
Latest Version
December 19, 2023
53.2 MB

Speech Synthesis: HiFi-GAN Model Card

Model Overview

HiFi-GAN 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

HiFi-GAN 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 proprietary data sampled at 44100Hz, and can be used to generate a Spanish (US) voice. This model supports 1 female and 1 male voice. The female voice comes with neutral, calm, angry and sad emotions. The male voice comes with neutral, calm, happy, and angry emotions. Each emotion is accessed as a speaker. For example Female-Calm, Male-Happy, and so on.

How to Use this Model

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

The encryption key for this model is tlt_encode


Mel-spectrogram of shape (batch x mel_channels x time)


Audio of shape (batch x time)




[1] HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Suggested Reading

Refer to the Riva documentation for more information.


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