# Low-resource language TTS

A text-to-speech synthesis model developed for the Bambara language, based on VITS architecture and Facebook MMS foundation model

A Wolof text-to-speech (TTS) model fine-tuned based on the SpeechT5 architecture, using a custom tokenizer adapted to Wolof language characteristics

Uzbek speech synthesis model based on Microsoft SpeechT5, fine-tuned on an unknown dataset

This is an end-to-end deep learning based Kinyarwanda text-to-speech (TTS) system, trained using Coqui's TTS library and YourTTS architecture.

This is a Transformer-based text-to-speech (TTS) model that supports Dhivehi language speech synthesis.

This is a Shan language text-to-speech (TTS) model designed to convert Shan text into natural speech.

A Text-to-Speech model for the Triqui (Chicahuaxtla dialect) developed by Meta, which is part of the Massive Multilingual Speech (MMS) project.

The Lampung Api text-to-speech model developed by Meta, which is part of the MMS multilingual speech project

A text-to-speech model for Trinidadian Creole developed by Meta, which uses the VITS architecture to achieve high-quality speech synthesis.

A Chin and Bam text-to-speech model developed by Meta, part of the Massively Multilingual Speech (MMS) project.

Pangasinan text-to-speech model developed by Meta, based on VITS architecture, supporting high-quality speech synthesis

Tok Pisin text-to-speech model developed by Meta, based on VITS architecture, supporting high-quality speech synthesis

Garhwali text-to-speech model developed by Meta, supporting high-quality speech synthesis

A Haitian Creole text-to-speech model fine-tuned on the cmu_haitian dataset based on microsoft/speecht5_tts

Urdu text-to-speech model based on Microsoft's SpeechT5 architecture

Dutch text-to-speech model based on the SpeechT5 architecture, fine-tuned on the VoxPopuli dataset