A PyTorch implementation of the paper: "LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source Separation" (ICASSP 2021)
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Updated
Nov 13, 2022 - Jupyter Notebook
A PyTorch implementation of the paper: "LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source Separation" (ICASSP 2021)
A PyTorch Implementation of the paper - Choi, Woosung, et al. "Investigating u-nets with various intermediate blocks for spectrogram-based singing voice separation." 21th International Society for Music Information Retrieval Conference, ISMIR. 2020.
A PyTorch implementation of the paper: "AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries" (ACM Multimedia 2021)
Voiceolation is a neural network for trained to extracts vocals from songs.
Pytorch implementation of MDensenet and sparse NMF. Made for my undergraduate thesis "Music Source Separation with Supervised Learning Methods".
Music source separation testbench with various offline and realtime DSP and machine learning algorithms using the STFT, CQT, NSGT, sliCQT, WMDCT, and TFJigsaw
Tensorflow 2.x (with Keras API) Implementation of the TaSNet (Luo et al., 2018)
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