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xj-martin's Projects

alphazero_gomoku icon alphazero_gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

asteroid icon asteroid

The PyTorch-based audio source separation toolkit for researchers

awesome-speech-enhancement icon awesome-speech-enhancement

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

bird-recognition-review icon bird-recognition-review

A list of useful resources in the bird sound (song and calls) recognition, such as datasets, papers, links to open source projects and competitions

bird_audio_detection icon bird_audio_detection

This project analyzes and detects bird audio sounds. It used mel-spectrograms and apply CNN over it.

conv-tasnet-1 icon conv-tasnet-1

Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement

conv-tasnet-2 icon conv-tasnet-2

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

demucs icon demucs

Code for the paper Hybrid Spectrogram and Waveform Source Separation

dns-challenge icon dns-challenge

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

dual-path-rnn-pytorch icon dual-path-rnn-pytorch

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch

fcanet icon fcanet

FcaNet: Frequency Channel Attention Networks

mdx-net icon mdx-net

KUIELAB-MDX-Net got the 2nd place on the Leaderboard A and the 3rd place on the Leaderboard B in the MDX-Challenge ISMIR 2021

minus-plus-network icon minus-plus-network

this repo is the codebase for ICCV19 paper "Recursive Visual Sound Separation Using Minus-Plus Net"

ms-snsd icon 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.

semseg icon semseg

Semantic Segmentation in Pytorch

sigsep-mus-db icon sigsep-mus-db

Python parser and tools for MUSDB18 Music Separation Dataset

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