dc_tts
speech-recognition-uk
| dc_tts | speech-recognition-uk | |
|---|---|---|
| 4 | 1 | |
| 1,150 | 297 | |
| - | - | |
| 0.0 | 6.3 | |
| about 1 year ago | 4 months ago | |
| Python | Python | |
| Apache License 2.0 | - |
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dc_tts
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Recommendation: This sub should have a Wiki with resources to help noobs get started
I've been trying to find out what the most popular tools are for vocal synthesis. I've stumbled upon https://github.com/NVIDIA/tacotron2 and https://github.com/Kyubyong/dc_tts but those git repos haven't been updated since June 2020 and April 2018 respectively. Does anyone know what the most common tools are that folks use to do vocal synthesis?
- [D] Why does a relatively small batch number and neural network use up so much memory?
- [D] Making a text to speech model from scratch? (Deep learning)
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NVIDIA Jarvis and its text-to-speech pipeline
For custom voices, you will need a dataset. My fav custom TTS is still: https://github.com/Kyubyong/dc_tts
speech-recognition-uk
What are some alternatives?
tacotron2 - Tacotron 2 - PyTorch implementation with faster-than-realtime inference
react-native-spokestack - Spokestack: give your React Native app a voice interface!
Voice-Cloning-App - A Python/Pytorch app for easily synthesising human voices
lingvo - Lingvo
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
aeneas - aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
ukrainian-onnx-model - An ONNX model for speech recognition of the Ukrainian language
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple