F

Fb Tts

Developed by akthangdz
A Vietnamese text-to-speech model developed by Meta, based on the VITS architecture, supporting high-quality speech synthesis
Downloads 1
Release Time : 10/17/2024

Model Overview

This model is part of Meta's Massive Multilingual Speech (MMS) project, specifically providing text-to-speech functionality for Vietnamese. It uses an end-to-end VITS architecture based on variational inference and adversarial learning, capable of directly generating natural speech waveforms from text.

Model Features

End-to-end speech synthesis
Generate speech waveforms directly from text without intermediate feature extraction steps
Variational adversarial learning architecture
Combine variational autoencoder and adversarial training to improve speech naturalness
Random duration prediction
Support generating speech outputs with different rhythms for the same text
Multilingual support
As part of the MMS project, share a unified architecture with other language models

Model Capabilities

Vietnamese text-to-speech
High-quality speech synthesis
Variable rhythm speech generation

Use Cases

Voice assistant
Vietnamese voice assistant
Provide natural voice interaction experience for Vietnamese users
Generate speech outputs close to real human pronunciation
Accessibility technology
Text reading function
Help visually impaired people access text content
Smooth and natural Vietnamese speech output
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