tacotron2
FastSpeech2
tacotron2 | FastSpeech2 | |
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29 | 4 | |
4,915 | 1,631 | |
1.0% | - | |
0.0 | 0.0 | |
5 months ago | 7 months ago | |
Jupyter Notebook | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
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tacotron2
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ESpeak-ng: speech synthesizer with more than one hundred languages and accents
The quality also depends on the type of model. I'm not really sure what ESpeak-ng actually uses? The classical TTS approaches often use some statistical model (e.g. HMM) + some vocoder. You can get to intelligible speech pretty easily but the quality is bad (w.r.t. how natural it sounds).
There are better open source TTS models. E.g. check https://github.com/neonbjb/tortoise-tts or https://github.com/NVIDIA/tacotron2. Or here for more: https://www.reddit.com/r/MachineLearning/comments/12kjof5/d_...
- [D] What is the best open source text to speech model?
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[D] The model used in the AI generated Jay-z vocals
Which might use https://github.com/NVIDIA/tacotron2 in their backend
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Can anyone reccomend any free voice cloning software/websites even if it provided limited word options
One thing is uberduck.ai but I think it's freemium (it's free but some features are premium). There's also tacotron 2.0 and its pytorch page. Many other softwares on sub but tacotron gave this and this and this.
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Sauron be spitting bars
Maybe we can use AI to hear this rapped by a famous rapper?
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Kerfuś
Sadly GothicBot the TTS I knew, doesn't exist anymore, but here is an alternative. It works in polish from what I heard.
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How far are we from being able to clone a singers voice?
From what I’ve seen, NVIDIA’s Tacotron2 can already be used to create some pretty convincing singing.
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Is it possible to make compelling synthesized speech with fairly low-quality recordings?
You might want to try something like Tacotron 2 by Nvidia to experiment with your current data.
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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.
- The OG (OC)
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).
What are some alternatives?
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
Voice-Cloning-App - A Python/Pytorch app for easily synthesising human voices
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
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
tacotron - A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
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)
waveglow - A Flow-based Generative Network for Speech Synthesis
vits - VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech