# Multi-speaker TTS

A high-quality Tamil text-to-speech (TTS) model developed by Nidum, capable of converting Tamil text into clear and natural voice output.

This is a monolingual Czech SpeechT5 base model, pre-trained on 120,000 hours of Czech audio and a 17.5 billion-word text corpus, designed as a starting point for Czech TTS fine-tuning.

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

An end-to-end deep learning-based Kinyarwanda TTS system supporting zero-shot learning, requiring only 1 minute of speech to introduce a new voice.

An English text-to-speech model based on the FastSpeech 2 architecture, supporting 200 different voices, trained on the Common Voice v4 dataset.