In this world of myriad languages, finding a voice synthesis assistant that can speak every tongue seems harder than reaching the heavens, right? Fear not, as the brainiacs from the University of Stuttgart have unleashed a game-changer—ToucanTTS, a Text-to-Speech (TTS) model capable of speaking over 7000 languages!
With a name that sounds as vibrant as its capabilities, ToucanTTS is powered by cutting-edge technology from IMS. It supports nearly all ISO-639-3 standard languages, meaning it can speak even more languages than you might be aware of. Its potential applications worldwide are virtually limitless.
Key Features:
Multilingual Support: ToucanTTS supports nearly all ISO-639-3 standard languages, theoretically covering over 7000 languages, making it the TTS model with the broadest language support.
Diverse Style Synthesis: It can mimic various speakers' rhythms, accents, and intonations, offering diverse styles and customizable voices.
Controllable Synthesis: Users can adjust parameters like pitch, speed, and emotion to generate voices with different emotions or styles.
High-Quality Voice Generation: Utilizing the PyTorch framework and deep learning techniques, it ensures high fidelity and naturalness in voice generation.
Human-in-the-Loop Editing: Includes human-in-the-loop editing features suitable for literary research and poetry reading tasks.
Self-Contained Aligner: Equipped with an aligner trained using CTC and spectrogram reconstruction, enhancing the precision and quality of voice synthesis.
Data Preprocessing Tools: Offers data preprocessing tools to streamline the preparation of training data.
One Voice, Many Faces
Not only can ToucanTTS speak multiple languages, but it can also emulate different speakers' styles, whether in tone, accent, or rhythm. This is a boon for applications requiring diverse voices.
This toolkit also allows users to control multiple voice parameters such as pitch, speed, and emotion. Whether you want a soothing comfort or an inspiring encouragement, ToucanTTS has got you covered.
High-Quality Voice, As Natural As a Real Person
Using the PyTorch framework and deep learning technology, the voices generated by ToucanTTS are so high-quality that they can be indistinguishable from real human speech. Its end-to-end training and inference make it adept at handling complex voice synthesis tasks.
ToucanTTS also features human-in-the-loop editing, making it particularly suitable for literary research and poetry recitation. Users can customize the synthesized voices according to their preferences, making the machine understand your heart better.
Self-Contained Aligner for More Accurate Synthesis
The built-in aligner, trained with CTC and spectrogram reconstruction, further enhances the precision and quality of voice synthesis.
ToucanTTS also provides a suite of data preprocessing tools, simplifying the preparation of training data and making voice synthesis more efficient.
Project Link: https://github.com/DigitalPhonetics/IMS-Toucan
Online Demo: https://huggingface.co/spaces/Flux9665/MassivelyMultilingualTTS
