tacotron2
radtts
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| tacotron2 | radtts | |
|---|---|---|
| 28 | 1 | |
| 4,890 | 270 | |
| 1.2% | 0.7% | |
| 0.0 | 0.0 | |
| 4 months ago | about 1 year ago | |
| Jupyter Notebook | Roff | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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tacotron2
- [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)
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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.
radtts
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[D] What is the best open source text to speech model?
RadTTS submitted: Aug 18, 2021 (NVIDIA page, not Arxiv) paper: https://openreview.net/pdf?id=0NQwnnwAORi github: https://github.com/NVIDIA/radtts
What are some alternatives?
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
Voice-Cloning-App - A Python/Pytorch app for easily synthesising human voices
hifi-gan - HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
Speech-Backbones - This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
waveglow - A Flow-based Generative Network for Speech Synthesis
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)
tacotron - A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
DiffSinger - PyTorch implementation of DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (focused on DiffSpeech)