Multilingual controllable text-to-speech synthesis toolkit
ToucanTTS is a multilingual and controllable text-to-speech synthesis toolkit developed by the Institute of Natural Language Processing at the University of Stuttgart in Germany. It's built using pure Python and PyTorch to keep it simple and easy to get started while being as powerful as possible. The toolkit supports teaching, training, and using cutting-edge speech synthesis models with a high degree of flexibility and customizability for education and research.
ToucanTTS is primarily intended for researchers, educators, and students in the field of speech technology. It is suitable for professionals who need to conduct speech synthesis research, develop multilingual speech applications, or teach speech technology. Due to its ease of use and powerful features, it is also suitable for beginners to learn and explore speech synthesis technology.
Using ToucanTTS to teach speech synthesis principles in college courses
Researchers use toolkit to develop new speech synthesis algorithms
Educators use ToucanTTS to show students the effects of speech synthesis in different languages
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