meadow163

Pinned Repositories

3D-Speaker
A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization
Language:Python0 0 00
Active-Noise-Cancellation-System
LMS, RLS, QR-RLS based FIR adaptive filter for active noise cancellation with and without quantization effects.
Language:MATLAB0 0 00
add-noise
Language:MATLAB0 0 00
AdversarialAudioSeparation
Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"
Language:Python0 0 00
AEC-Challenge
AEC Challenge
Language:Python0 0 00
AEC_DeepModel
基于深度学习的声学回声消除基线代码
Language:Python0 0 00
antkillerfarm_crazy
antkillerfarm's crazy magic
Language:C0 0 00
Apollo
Music repair method to convert lossy MP3 compressed music to lossless music.
Language:Python0 0 00
asteroid
The PyTorch-based audio source separation toolkit for researchers || Pretrained models available
Language:Python0 0 00
DeWave
Single-channel blind source separation
Language:Python1 0 00

meadow163's Repositories

meadow163/add-noise
Language:MATLAB0 0 00
meadow163/AdversarialAudioSeparation
Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"
Language:Python0 0 00
meadow163/AuxIVA
Language:Python0 0 00
meadow163/ava-dataset
The AVA dataset densely annotates 80 atomic visual actions in 351k movie clips with actions localized in space and time, resulting in 1.65M action labels with multiple labels per human occurring frequently.
0 0 00
meadow163/Beamforming-for-speech-enhancement
simple delaysum, MVDR and CGMM-MVDR
Language:Python0 0
meadow163/cdr-dereverb
Coherence-based Dereverberation for Speech Enhancement
meadow163/ClassicGAN
ClassicGAN: Generation of Classical Music with PGGAN
meadow163/dcase2018_task1
meadow163/dnn_wpe
meadow163/Dual_Channel_Beamformer_and_Postfilter
This project gives an example of dual microphone speech enhancement based on GSC beamformer and multiple channel postfilter.
meadow163/gcc-nmf
Real-time GCC-NMF Blind Speech Separation and Enhancement
meadow163/gsl-2.5-_source_code
meadow163/gsltestproject
meadow163/gwpe-speech-dereverb
meadow163/ILRMA
Copyright 2018 Daichi Kitamura. These programs are distributed only for academic research at universities and research institutions. It is not allowed to use or modify these programs for commercial or industrial purpose without our permission. When you use or modify these programs and write research articles, cite the following references: D. Kitamura, N. Ono, H. Sawada, H. Kameoka, H. Saruwatari, "Determined blind source separation unifying independent vector analysis and nonnegative matrix factorization," IEEE/ACM Trans. ASLP, vol. 24, no. 9, pp. 1626-1641, September 2016. D. Kitamura, N. Ono, H. Sawada, H. Kameoka, H. Saruwatari, "Determined blind source separation with independent low-rank matrix analysis," Audio Source Separation. Signals and Communication Technology., S. Makino, Ed. Springer, Cham, pp. 125-155, March 2018.
meadow163/MASP
Microphone Array Speech Processing
meadow163/MatlabWorkSpace
some algorithm about machine learning ,neural network or Microphone Array
meadow163/Music-Generation-Using-Deep-Learning
A Deep Learning Case Study to Generate Music Sequences using Char RNN, where each RNN is an LSTM unit.
meadow163/MusicVAE
meadow163/note_music_generator
meadow163/pcm_conv
Language:Python
meadow163/pesq-socre
Language:C++
meadow163/pytorch-vqvae
Vector Quantized VAEs - PyTorch Implementation
meadow163/ReplayGainAnalysis
ReplayGainAnalysis - analyzes input samples and give the recommended dB change
meadow163/sampleRNN_acoustic_scene_generation
meadow163/SING
Symbol-to-Instrument Neural Generator
meadow163/Singing-Voice-Separation
meadow163/Speech_Enhancement_DNN_NMF
Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF
meadow163/Wave-U-Net
Implementation of the Wave-U-Net for audio source separation
meadow163/wavenet
An implementation of WaveNet: A Generative Model for Raw Audio https://arxiv.org/abs/1609.03499