FastSpeech2
Parallel-Tacotron2
| FastSpeech2 | Parallel-Tacotron2 | |
|---|---|---|
| 4 | 1 | |
| 1,622 | 184 | |
| - | - | |
| 0.0 | 0.0 | |
| 6 months ago | over 2 years 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).
Parallel-Tacotron2
What are some alternatives?
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
hifi-gan - HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
tacotron2 - Tacotron 2 - PyTorch implementation with faster-than-realtime inference
how-do-vits-work - (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
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.
WaveRNN - WaveRNN Vocoder + TTS
tacotron - A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
marytts - MARY TTS -- an open-source, multilingual text-to-speech synthesis system written in pure java
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
vits - VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
TensorFlowTTS - :stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)