tacotron2
dc_tts
| tacotron2 | dc_tts | |
|---|---|---|
| 29 | 4 | |
| 4,915 | 1,150 | |
| 1.0% | - | |
| 0.0 | 0.0 | |
| 5 months ago | about 1 year ago | |
| Jupyter Notebook | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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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)
dc_tts
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Recommendation: This sub should have a Wiki with resources to help noobs get started
I've been trying to find out what the most popular tools are for vocal synthesis. I've stumbled upon https://github.com/NVIDIA/tacotron2 and https://github.com/Kyubyong/dc_tts but those git repos haven't been updated since June 2020 and April 2018 respectively. Does anyone know what the most common tools are that folks use to do vocal synthesis?
- [D] Why does a relatively small batch number and neural network use up so much memory?
- [D] Making a text to speech model from scratch? (Deep learning)
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NVIDIA Jarvis and its text-to-speech pipeline
For custom voices, you will need a dataset. My fav custom TTS is still: https://github.com/Kyubyong/dc_tts
What are some alternatives?
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
Voice-Cloning-App - A Python/Pytorch app for easily synthesising human voices
lingvo - Lingvo
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
aeneas - aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
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)
MockingBird - 🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
waveglow - A Flow-based Generative Network for Speech Synthesis
speech-recognition-uk - Speech Recognition for Ukrainian