FastSpeech2
tacotron
| FastSpeech2 | tacotron | |
|---|---|---|
| 4 | 3 | |
| 1,622 | 2,927 | |
| - | - | |
| 0.0 | 0.0 | |
| 6 months ago | 10 months ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
FastSpeech2
-
[D] What is the best open source text to speech model?
FastSpeech2 submitted: Jun 8, 2020 paper: https://arxiv.org/pdf/2006.04558.pdf github: https://github.com/ming024/FastSpeech2 (Not the official implementation but is the once cited the most)
-
What voice-changing apps are available right now?
We have the TorToiSe repo, the SV2TTS repo, and from here you have the other models like Tacotron 2, FastSpeech 2, and such. A there is a lot that goes into training a baseline for these models on the LJSpeech and LibriTTS datasets. Fine tuning is left up to the user.
- I'm looking for something self-hosted, preferably linux-based (though win or mac will work too), that will allow me to train a 'voice model' with pre-recorded speech, and then replicate it from text of my choice.
-
Voice-cloning library for conlangs?
As for synthesis of text using your own voice - you can dig into Real Time Voice Cloning or maybe FastSpeech2, but I am not sure if you can use it with conlangs (and because of ML nature, you need many, many, many training data to get anything interesting).
tacotron
-
[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)
-
Free/cheap text to speech voice for public sharing?
Mozilla TTS Tacotron
- TTS: Text-to-Speech for All
What are some alternatives?
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
flowtron - Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
mimic2 - Text to Speech engine based on the Tacotron architecture, initially implemented by Keith Ito.
tacotron2 - Tacotron 2 - PyTorch implementation with faster-than-realtime inference
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
voice100 - Voice100 includes neural TTS/ASR models. Inference of Voice100 is low cost as its models are tiny and only depend on CNN without autoregression.
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
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