Voice-Cloning-App
Pytorch
| Voice-Cloning-App | Pytorch | |
|---|---|---|
| 18 | 340 | |
| 1,247 | 78,016 | |
| - | 1.4% | |
| 0.0 | 10.0 | |
| about 1 year ago | 6 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | BSD 1-Clause License |
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Voice-Cloning-App
- AI-genereeritud Politseikroonika
- Making Voices For System Members
- [Discussion] Is there any open-source alternative to voice.ai ? Looking for open-source speech to speech AI
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Voice actor I need died a decade ago. Is there a program which can create text-to-voice with the voice of a specific person through providing the software voice samples to work from?
I then feed the audio and transcriptions into this tool which handles assembling the dataset, and training s voice from that dataset.
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Trying to get it working
This Voice CLoning App is much easier to use then others, maybe you can give it a try?
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What's the most effective voice-cloning tool these days?
Although I had to fix some errors before I got it to work (mainly due to my data containing characters that do not appear in the alphabet), I achieved exceptional results with https://github.com/BenAAndrew/Voice-Cloning-App. It uses Tacotron2 and has a useful web GUI.
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Silero V3: fast high-quality text-to-speech in 20 languages with 173 voices
Nice to see this here - Silero is also the engine that powers the "dataset builder" for Voice-Cloning-App (https://github.com/BenAAndrew/Voice-Cloning-App), a GUI TTS system that modifies Tacotron2 slightly.
Just sharing the links in case others are new to the space and keen to tinker on some solid open-source offerings.
- Show HN: Voice Clones for Creators
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Is there a guide to train talknet locally?
If you have an Nvidia card you can try this one
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Accel World Post Anime Fan Adaptation Progress Update #2: DeepFake AI Voice Creation Going Well. Looking for help.
Voice cloning app github:https://github.com/BenAAndrew/Voice-Cloning-App
Pytorch
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Clasificador de imágenes con una red neuronal convolucional (CNN)
PyTorch (https://pytorch.org/)
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AI enthusiasm #9 - A multilingual chatbot📣🈸
torch is a package to manage tensors and dynamic neural networks in python (GitHub)
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Einsum in 40 Lines of Python
PyTorch also has some support for them, but it's quite incomplete and has many issues so that it is basically unusable. And its future development is also unclear. https://github.com/pytorch/pytorch/issues/60832
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Library for Machine learning and quantum computing
TensorFlow
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My Favorite DevTools to Build AI/ML Applications!
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
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penzai: JAX research toolkit for building, editing, and visualizing neural nets
> does PyTorch have a similar concept
of course https://github.com/pytorch/pytorch/blob/main/torch/utils/_py...
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Tinygrad: Hacked 4090 driver to enable P2P
fyi should work on most 40xx[1]
[1] https://github.com/pytorch/pytorch/issues/119638#issuecommen...
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The Elements of Differentiable Programming
Sure, right here: https://github.com/pytorch/pytorch/blob/main/torch/autograd/...
Here's the documentation: https://pytorch.org/tutorials/intermediate/forward_ad_usage....
> When an input, which we call “primal”, is associated with a “direction” tensor, which we call “tangent”, the resultant new tensor object is called a “dual tensor” for its connection to dual numbers[0].
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Functions and operators for Dot and Matrix multiplication and Element-wise calculation in PyTorch
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch.
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In PyTorch with @, dot() or matmul():
What are some alternatives?
tacotron2 - Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
Voice_cloner - A guide to clone anyone's voice and use it as a text-to-speech with android
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
vall-e - An unofficial PyTorch implementation of the audio LM VALL-E
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
Awesome-DeepFake-Learning - The approach I work on DeepFake.
flax - Flax is a neural network library for JAX that is designed for flexibility.
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more