M

Mms Tts Tir

Developed by facebook
A Tigrinya text-to-speech model developed by Meta, based on the VITS architecture, supporting high-quality speech synthesis
Downloads 242
Release Time : 9/1/2023

Model Overview

This model is part of Meta's Massively Multilingual Speech (MMS) project, specifically designed to convert Tigrinya text into natural speech. It employs an end-to-end VITS architecture, combining variational inference and adversarial learning techniques.

Model Features

End-to-End Speech Synthesis
Directly generates speech waveforms from text without intermediate feature extraction steps
Multilingual Support
As part of the MMS project, supports multiple languages including Tigrinya
Expressive Output
Generates speech with varied rhythm and intonation through stochastic duration prediction and normalizing flow techniques
High-Quality Output
Uses a HiFi-GAN-like vocoder structure to produce high-quality speech waveforms

Model Capabilities

Text-to-Speech
Multilingual Speech Synthesis
Speech Waveform Generation

Use Cases

Voice Assistive Technology
Tigrinya Voice Assistant
Develop voice assistant applications for Tigrinya-speaking users
Generates natural and fluent Tigrinya speech responses
Educational Technology
Language Learning Tool
Helps learners practice Tigrinya pronunciation
Provides accurate Tigrinya pronunciation demonstrations
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase