FastSpeech2
waveglow
| FastSpeech2 | waveglow | |
|---|---|---|
| 4 | 2 | |
| 1,622 | 2,218 | |
| - | 0.3% | |
| 0.0 | 0.0 | |
| 6 months ago | 7 months ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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FastSpeech2
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[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)
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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.
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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).
waveglow
- [D] What is the best open source text to speech model?
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XQC Falls for dono thinkng its Adept
I had tried tacotron2 + waveglow and it's quite easy to get very good results. The hardest part is collecting clean data.
What are some alternatives?
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
tacotron2 - Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
tacotron - A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
radtts - Provides training, inference and voice conversion recipes for RADTTS and RADTTS++: Flow-based TTS models with Robust Alignment Learning, Diverse Synthesis, and Generative Modeling and Fine-Grained Control over of Low Dimensional (F0 and Energy) Speech Attributes.
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.
STYLER - Official repository of STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech, INTERSPEECH 2021
hifi-gan - HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
flowtron - Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer