keonlee9420/Comprehensive-Transformer-TTS
A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS
This project helps audio engineers, content creators, and AI researchers generate realistic human speech from written text. You provide text input, and it produces high-quality audio files in various voices and styles. It's designed for users who need to synthesize speech quickly and with fine-grained control over vocal characteristics.
328 stars. No commits in the last 6 months.
Use this if you need to generate high-quality, natural-sounding speech from text, especially if you require control over speaking rate, pitch, and volume, or want to experiment with different voice models.
Not ideal if you're looking for a simple, off-the-shelf text-to-speech solution without any technical setup or customization.
Stars
328
Forks
43
Language
Python
License
MIT
Category
Last pushed
Sep 24, 2022
Commits (30d)
0
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