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Search results for deep learning source separation

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19 search results found

Stemroller ⭐ 2,162

Isolate vocals, drums, bass, and other instrumental stems from any song

Asteroid ⭐ 2,018

The PyTorch-based audio source separation toolkit for researchers

Wave U Net ⭐ 574

Implementation of the Wave-U-Net for audio source separation

Deepconvsep ⭐ 397

Deep Convolutional Neural Networks for Musical Source Separation

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

Deeplearningsourceseparation ⭐ 342

Deep Recurrent Neural Networks for Source Separation

Source_separation ⭐ 252

Deep learning based speech source separation using Pytorch

Sudo_rm_rf ⭐ 211

Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of separating sources from mixtures.

Source Separation Wavenet ⭐ 160

A neural network for end-to-end music source separation

Dnn Based_source_separation ⭐ 147

A PyTorch implementation of DNN-based source separation.

Mad Twinnet ⭐ 101

The code for the MaD TwinNet. Demo page:

Spleeterrt ⭐ 75

Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.

Demucs_lightning ⭐ 67

Demucs Lightning: A PyTorch lightning version of Demucs with Hydra and Tensorboard features

Adaptive Multispeaker Separation ⭐ 42

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem

Audioset_augmentor ⭐ 33

Sound augmentation using Large-scale audio dataset (Audioset)

Drnn4ass ⭐ 31

Deep Recurrent Neural Network for Audio Source Separation

Deep_kareoke_source_separation ⭐ 31

https://speech-ai.github.io/SpeechX/ tools for light-weight speech-related tasks like speech separation

Control mechanisms to the U-Net architecture for doing multiple source separation instruments

Deepseparation ⭐ 17

Keras Implementation and Experiments with Deep Recurrent Neural Networks for Source Separation

Music Source Separation Using Unets ⭐ 13

This repo explores the concept of blind source separation by training a U-Net model that separated a song into its vocal and accompaniments

Unknown_number_source_separation ⭐ 7

Source separation of underwater acoustic radiated noise signals from ships with unknown numbers of signals. Using keras 2.2.4 with tensorflow-gpu 1.12.0 backend.

Music Xtraction with Nonstationary Gabor Transforms and Convolutional Denoising Autoencoders

Xumx Slicq V2 ⭐ 6

better music demixing with PyTorch and the sliCQT

Source Separation ⭐ 5

Audio Source separation based on deep learning

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