In this world of diverse languages, is it harder than climbing to the sky to find a speech synthesis assistant that can speak all languages? Don't worry, the top students at the University of Stuttgart have come up with a great solution -ToucanTTS, a person who speaks more than 7,000 languagesText-to-speech（TTS)Model!
ToucanTTS, a name that sounds very dynamic, is backed by IMS's black technology. It supports almost all ISO-639-3 standard languages, which means that in theory it can speak more languages than you know. Its global application potential is simply unlimited.
Core features:
- Multi-language support: ToucanTTS supports almost all ISO-639-3 standard languages, theoretically covering more than 7,000 languages. It is the TTS model that currently supports the most languages.
- Multi-style speech synthesis: Supports simulation of the rhythm, stress and intonation of different speakers, providing style diversity and voice customization.
- Controllable speech synthesis: Users can control speech parameters such as pitch, speaking speed, emotion, etc. to generate speech with different emotions or styles.
- High-quality speech generation: Using the PyTorch framework and deep learning technology to ensure high fidelity and naturalness of speech generation.
- Human editing: Includes human-in-the-loop editing capabilities, suitable for literary research and poetry reading tasks.
- Self-contained aligner: An aligner that includes CTC and spectrogram reconstruction training to improve speech synthesis accuracy and quality.
- Data preprocessing tools: Provide data preprocessing tools to simplify the preparation of training data.
One person has many faces, and voice can also "change face"
ToucanTTS can not only speak multiple languages, but also simulate the styles of different speakers, whether it is intonation, stress or rhythm, which is good news for applications that require voice diversity.
This toolkit also allows users to control multiple parameters of the voice, such as pitch, speaking speed, emotion, etc. Do you want to hear gentle comfort or passionate encouragement? ToucanTTS can give you both.
High-quality voice, as natural as a real person speaking
Using the PyTorch framework and deep learning technology, ToucanTTS generates speech of such high quality that it is indistinguishable from real speech. End-to-end training and reasoning allow it to handle complex speech synthesis tasks with ease.
ToucanTTS also has a human-in-the-loop editing function, which is particularly suitable for literary research and poetry recitation. Users can customize the synthesized voice according to their preferences, allowing the machine to understand your heart better.
Self-contained aligner for more accurate speech synthesis
The built-in aligner, trained using CTC and spectrogram reconstruction, further improves the accuracy and quality of speech synthesis.
ToucanTTS also provides a complete set of data preprocessing tools to simplify the preparation of training data and make speech synthesis more efficient.
Project address: https://github.com/DigitalPhonetics/IMS-Toucan
Online demo: https://huggingface.co/spaces/Flux9665/MassivelyMultilingualTTS