haoxiangsnr/Masking-and-Inpainting

Stars
3
Rank 3,963,521 (Top 79 %)
Language
License
MIT License
Created about 5 years ago
Updated about 5 years ago

haoxiangsnr/Masking-and-Inpainting

haoxiangsnr

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

This link gives you access to the Demo page:

Wave-U-Net-for-Speech-Enhancement

Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.

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

IRM-based-Speech-Enhancement-using-LSTM

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

spiking-fullsubnet

Official repository of Spiking-FullSubNet, the Intel N-DNS Challenge Algorithmic Track Winner.

SNR-Based-Progressive-Learning-of-Deep-Neural-Network-for-Speech-Enhancement

Implementation of the paper "SNR-Based Progressive Learning of Deep Neural Network for Speech Enhancement."

SpEx

Implementation of "SpEx: Multi-Scale Time Domain Speaker Extraction Network".

Build-SE-Dataset

Build speech enhancement dataset.

llm-tse

Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction (LLM-TSE)

UNetGAN-Demo

[INTERSPEECH 2019] Waiting Update! This project is a demonstration of the paper UNetGAN: A Robust Speech Enhancement Approach in Time Domain for Extremely Low Signal-to-noise Ratio Condition.

audioinfo

A small tool to calculate the distribution of audio durations in a directory

MetricGAN-PyTorch

MetricGAN with PyTorch, currently in progress.

gatsbyblog

base on gatsby.js

Extremely-Low-SNR-Demo

[❌ Deprecated] A demonstration of the paper A robust speech enhancement approach based on deep adversarial learning for extremely low signal-to-noise condition.