r9y9/deepvoice3_pytorch
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
This project helps you create natural-sounding spoken audio from written text. You provide text as input, and it generates an audio file of that text being spoken. This is ideal for content creators, educators, or anyone needing to convert text into speech with high quality.
1,982 stars. No commits in the last 6 months.
Use this if you need to generate high-quality, realistic speech from text for single or multiple speakers, particularly in English or Japanese.
Not ideal if you need a plug-and-play solution without any setup, or if you require real-time, low-latency text-to-speech for interactive applications.
Stars
1,982
Forks
482
Language
Python
License
—
Category
Last pushed
Dec 19, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/r9y9/deepvoice3_pytorch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related tools
yeyupiaoling/MASR
Pytorch实现的流式与非流式的自动语音识别框架,同时兼容在线和离线识别,目前支持Conformer、Squeezeformer、DeepSpeech2模型,支持多种数据增强方法。
shivammehta25/Matcha-TTS
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
coqui-ai/TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
DigitalPhonetics/IMS-Toucan
Controllable and fast Text-to-Speech for over 7000 languages!
gabrielmittag/NISQA
NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment