deeplearningsourceseparation
Audio separator
A collection of MATLAB-based deep learning models and tools for source separation tasks in audio processing
Deep Recurrent Neural Networks for Source Separation
366 stars
33 watching
135 forks
Language: MATLAB
last commit: over 4 years ago
Linked from 1 awesome list
audio-separationdeep-learningmatlabrnnsource-separationspeech-denoisingspeech-separation
uhub/awesome-matlabRelated projects:
| Repository | Description | Stars |
|---|---|---|
 perception-and-neurodynamics-laboratory/matlab-toolbox-for-dnn-based-speech-separation | A Matlab toolbox for supervised speech separation using deep neural networks | 45 |
 mtg/deepconvsep | A framework for training deep neural networks to separate music sources from audio files. | 474 |
 andabi/music-source-separation | A deep neural network model for separating singing voice from music in audio files | 799 |
 matlab-deep-learning/deepspeech | Enables speech-to-text transcription using a pre-trained Deep Speech model in MATLAB. | 7 |
 vitrioil/speech-separation | An implementation of a speech separation algorithm using neural networks. | 90 |
 d-kitamura/ilrma | A MATLAB script implementing blind source separation algorithm based on Independent Low-Rank Matrix Analysis (ILRMA) for audio signal processing. | 108 |
 deepsound-project/samplernn-pytorch | An implementation of an audio generation model using PyTorch | 290 |
 soroushmehr/samplernn_iclr2017 | An unconditional end-to-end neural audio generation model utilizing a recurrent neural network architecture. | 537 |
 js-mim/mss_pytorch | This project provides a PyTorch implementation of a singing voice separation algorithm using recurrent inference and skip-filtering connections. | 171 |
 faroit/commonfate | A software package implementing an audio source separation technique based on spectral and temporal modulation textures | 17 |
 soerenab/audiomnist | This project provides an implementation of a deep learning framework to classify audio signals and offers insights into the model's decision-making process using Explainable Artificial Intelligence (AI) techniques. | 351 |
 hyeonwoonoh/deconvnet | Deconvolution network architecture for semantic segmentation | 325 |
 xiao-ming/unet-vocalseparation-chainer | An implementation of U-Net singing voice separation model using Chainer framework | 90 |
 l0sg/seqgan-music | Generates polyphonic music sequences using deep learning models and adversarial training | 28 |
 keunwoochoi/auralisation | Reconstructs audio features learned by convolutional neural networks into audible sounds | 42 |