vocal-remover
torchio
| vocal-remover | torchio | |
|---|---|---|
| 6 | 2 | |
| 1,394 | 1,954 | |
| - | - | |
| 4.8 | 8.2 | |
| about 1 month ago | 16 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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vocal-remover
- 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.
torchio
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[P] TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Doesn't seem that way, but its being discussed https://github.com/fepegar/torchio/issues/388
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[D] Affine Transform for data boosting?
See the torchio package: https://github.com/fepegar/torchio
What are some alternatives?
demucs - Code for the paper Hybrid Spectrogram and Waveform Source Separation, but the goddamm motherfucker doesn't work.
Super-SloMo - PyTorch implementation of Super SloMo by Jiang et al.
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
mpv-scripts - mpv lua scripts
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
deepsegment - A sentence segmenter that actually works!
TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch - Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
friture - Real-time audio visualizations (spectrum, spectrogram, etc.)
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
3d-multi-resolution-rcnn - Official PyTorch implementaiton of the paper "3D Instance Segmentation Framework for Cerebral Microbleeds using 3D Multi-Resolution R-CNN."