hififi

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

PercepNet

Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech

AdderNet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

Dynamic-convolution-Pytorch

Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)

CondConv-pytorch

unofficial implementation of CondConv: Conditionally Parameterized Convolutions for Efficient Inference in PyTorch.

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

DARCN

The implementation of "A Recursive Network with Dynamic Attention for Monaural Speech Enhancement"

sha-rnn

Single Headed Attention RNN - "Stop thinking with your head"

Conv-TasNet

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

DCUnet.pytorch

Phase-Aware Speech Enhancement with Deep Complex U-Net

P.808

This is an open-source implementation of the ITU P.808 standard for "Subjective evaluation of speech quality with a crowdsourcing approach" (see https://www.itu.int/rec/T-REC-P.808/en). It uses Amazon Mechanical Turk as the crowdsourcing platform. It includes implementations for Absolute Category Rating (ACR), Degradation Category Rating (DCR), and Comparison Category Rating (CCR).

Wind-Generator

Generating multi-channel wind noise based on the Corcos model

deep_complex_networks

Implementation related to the Deep Complex Networks

SE_DCUNet

Deep Complex UNet for speech enhancement, init from "https://github.com/chanil1218/DCUnet.pytorch"

MS-SNSD

The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.

IF_estimation_PLEDs

MATLAB/OCTAVE code for estimating instantaneous frequency (IF); uses a time-frequency approach

DDAEC

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

UNet-VocalSeparation-Chainer

A Chainer implementation of U-Net singing voice separation model

uPIT-for-speech-separation

Speech separation with utterance-level PIT experiments

DNN-for-speech-enhancement

DNN-for-speech-enhancement

MRCG

a optional way to extract audio feature