M

Mms Tts Kir

Developed by facebook
A Kyrgyz text-to-speech model developed by Meta, based on the VITS architecture, supporting high-quality speech synthesis.
Downloads 149
Release Time : 9/1/2023

Model Overview

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

Model Features

End-to-end speech synthesis
Uses the VITS architecture to directly generate speech waveforms without requiring a separately trained vocoder.
Multilingual support
As part of the MMS project, it supports multiple languages including Kyrgyz.
Enhanced expressiveness
Generates expressive speech through stochastic duration prediction and normalizing flow techniques.
Non-deterministic output
The same text can generate speech with different rhythms and intonations, increasing diversity.

Model Capabilities

Kyrgyz text-to-speech
Speech synthesis
Multilingual speech generation

Use Cases

Speech technology applications
Voice assistants
Provides localized voice interaction experiences for Kyrgyz-speaking users.
Audiobooks
Converts Kyrgyz text content into speech.
Accessibility services
Helps visually impaired individuals access Kyrgyz content.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase