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Top 9 Jupyter Notebook speech-synthesis Projects
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DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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silero-models
Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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flowtron
Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer
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Speech-Backbones
This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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text-analysis-speeches-amlo
Text analysis of the speeches, conferences and interviews of the current president of Mexico
Project mention: Weird A.I. Yankovic, a cursed deep dive into the world of voice cloning | news.ycombinator.com | 2023-10-02I doubt it's currently actually "the best open source text to speech", but the answer I came up with when throwing a couple of hours at the problem some months ago was "Silero" [0, 1].
Following the "standalone" guide [2], it was pretty trivial to make the model render my sample text in about 100 English "voices" (many of which were similar to each other, and in varying quality). Sampling those, I got about 10 that were pretty "good". And maybe 6 that were the "best ones" (pretty natural, not annoying to listen to).
IIRC the license was free for noncommercial use only. I'm not sure exactly "how open source" they are, but it was simple to install the dependencies and write the basic Python to try it out; I had to write a for loop to try all the voices like I wanted. I ended using something else for the project for other reasons, but this could still be fairly good backup option for some use cases IMO.
[0] https://github.com/snakers4/silero-models#text-to-speech
I haven't tried openvoice, but I did try whisperspeech and it will do the same thing. You can optionally pass in a file with a reference voice, and the tts uses it.
https://github.com/collabora/whisperspeech
I found it to be kind of creepy hearing it in my own voice. I also tried a friend of mine who had a french canadian accent and strangely the output didn't have his accent.
Project mention: Where can I find more info on the various model files | /r/SFWdeepfakes | 2023-05-05Also been looking into CycleGANs to do "voice conversions." I found that the term "voice conversion" is a research-friendly way to say you are doing voice clones. I found this one really good and I've been quite impressed : https://github.com/bshall/soft-vc
Jupyter Notebook speech-synthesis related posts
- WhisperFusion: Ultra-low latency conversations with an AI chatbot
- Where can I find more info on the various model files
- githubで公開されている音声自動生成AI、日本のアニメキャラ2890名分の音声を学習素材に超速度で進化中
- [D] Voice modification ML: state of the art and resources
- Visas Marr on the tragedy of Darth Plagueis
- Bastila Shan reads the Sith and Jedi Codes
- I created a Text-to-Speech model based on Bastila's voice patterns.
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Index
What are some of the best open-source speech-synthesis projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | DeepLearningExamples | 12,607 |
2 | silero-models | 4,546 |
3 | WhisperSpeech | 3,329 |
4 | flowtron | 881 |
5 | YourTTS | 824 |
6 | Speech-Backbones | 523 |
7 | soft-vc | 375 |
8 | assem-vc | 259 |
9 | text-analysis-speeches-amlo | 8 |
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