31 Open source projects that are alternatives of or similar to Phase-aware-Deep-Complex-UNet

The c++ implementation of Collective Influence (CI) algorithm in Complex Network with DataCastle Competition Solution

A speech dereverberation algorithm, also called wpe

A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources.

复杂网络社区发现算法、评价指标、常用数据集整理

Graph theory analysis of brain MRI data

Graphs and passing networks in football.

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

A statistical model-based Speech Enhancement Using MMSE-STSA

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

Deep learning based Speech Beamforming

In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral d…

Pytorch implementation of subband decomposition

Nonlinear Dynamics: A concise introduction interlaced with code

A curated list of awesome network analysis resources.

Network Analysis in Python

Dynamic Network Analysis library

PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym

Code used in the paper "Time Series Clustering via Community Detection in Networks"

Code associated to the paper 'Simplicial models of social contagion' Nat. Commun. (2019)

Noisy network measurement with stan

DEMON: a local-first discovery method for overlapping communities.

Python wrapper around GraphBLAS

📊复杂网络建模课程设计. The project of modeling of complex networks course.

The complete graph data science platform

End-to-End Speech Processing Toolkit

Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoisi…

A Conditional Generative Adverserial Network (cGAN) was adapted for the task of source de-noising of noisy voice auditory images. The base architecture is adapted from Pix2Pix.

No description or website provided.

This is the repo of the manuscript "Embedding and Beamforming: All-Neural Causal Beamformer for Multichannel Speech Enhancement", which was submitted to ICASSP2022.

Speech Enhancement Metrics (PESQ, CSIG, CBAK, COVL)

A framework for quick testing and comparing multi-channel speech enhancement and separation methods, such as DSB, MVDR, LCMV, GEVD beamforming and ICA, FastICA, IVA, AuxIVA, OverIVA, ILRMA, FastMNMF.