tacotron
TransformerTTS
tacotron | TransformerTTS | |
---|---|---|
3 | 1 | |
2,927 | 1,099 | |
- | 1.4% | |
0.0 | 0.0 | |
10 months ago | about 1 month ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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tacotron
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[D] What is the best open source text to speech model?
Tacotron submitted: Mar 29, 2017 paper: https://arxiv.org/pdf/1703.10135.pdf github: https://github.com/keithito/tacotron (Not the official implementation but is the once cited the most)
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Free/cheap text to speech voice for public sharing?
Mozilla TTS Tacotron
- TTS: Text-to-Speech for All
TransformerTTS
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Good text-to-speech models/audio filters
I've already explored many models, for example: https://github.com/as-ideas/TransformerTTS This one sounds ok, the model attention to pauses, punctuation marks is normal, but I want to get better accent placement.
What are some alternatives?
flowtron - Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer
hifi-gan - HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
mimic2 - Text to Speech engine based on the Tacotron architecture, initially implemented by Keith Ito.
TTS - πΈπ¬ - 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
Voice-Cloning-App - A Python/Pytorch app for easily synthesising human voices
FastSpeech2 - An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"
TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
vits - VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
waveglow - A Flow-based Generative Network for Speech Synthesis
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality