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a-convolutional-recurrent-neural-network-for-real-time-speech-enhancement

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

adabelief-optimizer

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

adversarialaudioseparation

Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"

asteroid

The PyTorch-based audio source separation toolkit for researchers || Pretrained models available

audio-snr

Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)

audio-source-separation

PyTorch code to separate instruments from music using a low-latency neural network

awesome-algorithm

Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现

awesome-speech-enhancement

speech enhancement\speech seperation\sound source localization

awesome-speech-enhancement-1

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

cnn-based-on-complex-number

基于复数的卷积神经网络：实现了复数卷积、复数池化、复数激活函数、复数全连接、复数Dropout等

cnn-for-single-channel-speech-enhancement

Convolutional neural nets for single channel speech enhancement

cnn-with-ibm-for-singing-voice-separation

complex-gated-recurrent-neural-networks

Complex domain recurrent neural network gating and Stiefel-manifold optimization in tensorflow, NeurIPS 2018

conv-stft

A STFT/iSTFT written up in PyTorch using 1D Convolutions

conv-tasnet

A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

cplxmodule

Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.

cunet

Control mechanisms to the U-Net architecture for doing multiple source separation instruments

dccrn

implementation of "DCCRN-Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement" by pytorch

deep-audio-prior

Audio Source Separation Without Any Training Data.

deep_complex_unet

Implementation Phase-aware Speech Enhancement with Deep Complex U-Net

deepcomplexcrn

deepxi

Deep Xi: A Deep Learning Approach to A Priori SNR Estimation. Used for Speech Enhancement and robust ASR.

demucs

Code for the paper Music Source Separation in the Waveform Domain

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

densenet.pytorch

A PyTorch implementation of DenseNet.

dive-into-dl-pytorch

本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。

dl_signal

Deep Learning Model for Signal Data

dnn-based-music-source-separation

Implementation of “Improving DNN-based Music Source Separation using Phase Features ”, the method is beautiful, but the result sucks.

dnn-based-music-source-separation-1

Implementation of DNN-based Music Source Separation

dnp

Audio Denoising with Deep Network Priors