WeTTS: Text To Speech
WETTS (WeNet End-to-End Text-to-Speech) is an open-source project based on WeNet, designed for end-to-end text-to-speech (TTS) conversion. The project aims to provide an efficient, flexible, and easy-to-use TTS system that supports multiple languages and voice styles. WETTS leverages advanced deep learning technologies, such as Transformer and WaveRNN, to achieve high-quality speech synthesis.
Source model
- Input shape: Dynamic input
- Number of parameters: --,--
- Model size: 410M,65.9M
- Output shape: Dynamic output
Source model repository: wetts
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License
Source Model: APACHE-2.0
Deployable Model: APLUX-MODEL-FARM-LICENSE
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