Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.

Deep Recurrent Neural Networks for Source Separation

Efficient, transparent deep learning in hundreds of lines of code.

LSTM-MATLAB is Long Short-term Memory (LSTM) in MATLAB, which is meant to be succinct, illustrative and for research purpose only. It is accompanied with a paper for reference: Revisit Long Short-T…

使用BP神经网络、RBF神经网络以及PSO优化的RBF神经网络进行数据的预测

基于MATLAB实现传统图像去噪算法（均值滤波、中值滤波、非局部均值滤波NLM、三维块匹配滤波BM3D）和基于深度卷积神经网络的DnCNN图像去噪算法。

A UNIFIED SPEECH ENHANCEMENT FRONT-END FOR ONLINE DEREVERBERATION, ACOUSTIC ECHO CANCELLATION, AND SOURCE SEPARATION

Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

Common preprocessing such as sg, msc, SNV, first-order derivative, second-order derivative, etc.

使用粒子群算法优化的RBF神经网络进行预测。RBF neural network optimized by particle swarm optimization is used for prediction.

Independent Component Analysis (for blind source separation)

this is a matlab toolbox of deep learning about sequences learning, object-oriented,including rnn, lstm and encoder decoder(sequences to sequences) etc.GPU version is available

Separation of singing voice and accompaniment

ECG signal denoising using Ensemble Empirical Mode Decomposition and R peak detection (cardiac frequency) using Hilbert Transform.

A non-intrusive objective metric for speech quality and intelligibility for normal hearing listeners and cochlear implant users

Singing-Voice Separation From Monaural Recordings Using Robust Principal Component Analysis

Panoramic robust PCA for foreground-background separation on noisy, free-motion camera video

LSTM Prediction for time series data (jean sales data set) using matlab

LSTM by matlab

Code for the paper Attention Based Neural Networks for Wireless Channel Estimation HA02

Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder

This folder contains Matlab programs for a toolbox for supervised speech separation using deep neural networks (DNNs).

Fast ICA algorithm for blind source separation

Source code of "A Single Model CNN for Hyperspectral Image Denoising"

Deep Learning in Quantitative Finance: Transformer Networks for Time Series Prediction

用 MATLAB 实现深度学习网络中的 stacked auto-encoder：使用AE variant（de-noising / sparse / contractive AE）进行预训练，用BP算法进行微调

This repository contains 9 methods for Base Line Wander removal. It also contains 3 similarity metrics that are applied to signals.

This repository contains MATLAB scripts and sample seismic data for appying seismid denoising proposed in: "Hybrid Seismic Denoising Using Higher‐Order Statistics and Improved Wavelet Block Thresho…

Deep Recurrent Neural Network for Audio Source Separation