cheriylan Goto Github PK

dptnet

drnn-keras

DRNN with LSTM for monaural source separation

dual-path-rnns-dprnns-based-speech-separation

A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

ibm-separation

Python code to show basic sound separation using Ideal Binary Masks

indrnn

TensorFlow implementation of Independently Recurrent Neural Networks

irm-based-speech-enhancement-using-lstm

Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM

ismir2020_u_nets_svs

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.

looking-to-listen

Deep neural network (DNN) for noise reduction, removal of background music, and speech separation

lva-ica-2018

Improving Single-Network Single-Channel Separation of Musical Audio with Convolutional Layers

medleydb

ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

models

Models and examples built with TensorFlow

mss_pytorch

Singing Voice Separation via Recurrent Inference and Skip-Filtering Connections - PyTorch Implementation. Demo:

music-source-separation

A Pytorch implementation of "Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation"

music-source-separation-1

《数字媒体(2)：多媒体》课程中音频小课堂大作业-音源分离任务

music-source-separation-2

PyTorch implementation of "Improving DNN-based Music Source Separation using Phase Features"

music-source-seperation-using-recurrent-vae

Musical source separation using recurrent variational autoencoder

music_source_separation

music_source_sepearation_sh_net

Source code for 'Music source separation using stacked hourglass networks', ISMIR 2018

paperwriting

pb_bss

Collection of EM algorithms for blind source separation of audio signals

phasen

A unofficial Pytorch implementation of Microsoft's PHASEN

python_source_separation

「Pythonで学ぶ音源分離」のソースコード

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

research-and-analysis-of-speech-enhancement-or-dereverberation

This repository contains some material of speech enhancement and dereverberation. On the one hand, I summarize this work for my further understanding. On the other hand, I hope that all beginners or masters interested in speech enhancement can ask me questions and make progress together. A lot of my summary is not very good, I hope you put forward corrections!

sal-dcnn

The released code of AAAI2019 paper "Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method"