vocal-remover
Vocal Remover using Deep Neural Networks (by tsurumeso)
deepsegment
A sentence segmenter that actually works! (by notAI-tech)
vocal-remover | deepsegment | |
---|---|---|
6 | 1 | |
1,400 | 228 | |
- | - | |
4.8 | 0.7 | |
about 1 month ago | over 3 years ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
vocal-remover
Posts with mentions or reviews of vocal-remover.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-19.
- Dúvida - App/Site para retirar a voz de uma música
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What code do I need to enter in CMD to load and continue training my own model and stop training it?
I use this code: https://github.com/tsurumeso/vocal-remover
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What is a good plugin for stem separation?
There is Vocal-Remover with various turnkey GUIs available like this one: https://github.com/Anjok07/ultimatevocalremovergui
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Separated instrumentals and vocals for the new songs
I coded my own one, but the general logic and methods that I used were from a paper and a couple github repositories, this being the most useful one I think
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Bubble Phone (Hyuna, Maroon 5 feat. Wiz Khalifa) - [3:15] [OC]
I've wanted to mess with Bubble Pop for ages, but unfortunately, like most kpop there are no official or leaked instrumentals/acapellas/stems. Today I started experimenting with a neural network for extracting vocals and instrumentals from mastered audio (vocal-remover). Bubble Pop was the first song I tried it on, and it worked stunningly well. I got a pretty well-separated instrumental and vocal track, and I used those to make this custom mix.
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Software for creating acapella from a track
No worries. In case you don't find it, here's a link. It's a GUI version of this one. Both are open source, MIT licence (you can use it commercially). But apart from a GUI it also provides additional models, which are better than the original one from vocal-remover. So even if you don't use the GUI (or can't for technical reasons) you can just use the models from UVR-GUI directly with vocal-remover.
deepsegment
Posts with mentions or reviews of deepsegment.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[D] What is currently the best SENTENCE level tokenizer ?
A bit model heavy but works pretty great https://github.com/notAI-tech/deepsegment
What are some alternatives?
When comparing vocal-remover and deepsegment you can also consider the following projects:
demucs - Code for the paper Hybrid Spectrogram and Waveform Source Separation, but the goddamm motherfucker doesn't work.
nlp-recipes - Natural Language Processing Best Practices & Examples
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
ttach - Image Test Time Augmentation with PyTorch!
mpv-scripts - mpv lua scripts
punctuator2 - A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text
friture - Real-time audio visualizations (spectrum, spectrogram, etc.)
AutoDash - Want to type an Em Dash—now you can. Just type "--".
torchio - Medical imaging toolkit for deep learning