MeloTTS

A local text-to-speech library that generates multilingual speech in real time on a CPU and supports training on custom datasets.

MeloTTS is a Python text-to-speech library for developers adding spoken output to their applications. It runs locally and can generate speech in real time on a CPU, so a dedicated GPU isn't required for inference.

Languages and accents: Generate speech in Spanish, French, Chinese, Japanese and Korean, or choose American, British, Indian, Australian or default English voices.
Mixed-language speech: The Chinese speaker can read Chinese and English within the same text, including passages that contain English names or phrases.
Custom training: Train on your own dataset for projects that need speech beyond the supplied voices.
Python integration: Use the Python API to add speech generation to an application; model cards are available on HuggingFace.

MeloTTS is open source under the MIT license, which permits commercial and non-commercial use.

Fine-Tuning and Training Inference Libraries and Bindings Text-to-Speech and Audiobooks Docker Web Multilingual

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A local text-to-speech library that generates multilingual speech in real time on a CPU and supports training on custom datasets.