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aec_deepmodel

基于深度学习的声学回声消除基线代码

algo

数据结构和算法必知必会的50个代码实现

asteroid

The PyTorch-based audio source separation toolkit for researchers || Current highlight : we got our WHAMR results check it out here !

audio-classification

Code for YouTube series: Deep Learning for Audio Classification

audio-super-res

Audio super resolution using neural networks

chime5-synchronisation

CHiME-5 Baseline Array Synchronisation

comparison-of-blind-source-separation-techniques

Compare AIRES BSS with ILRMA and AuxIVA

conv-tasnet

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

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deepxi

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

dldl-v2-pytorch

implementation of DLDL-v2

dtln-aec

This Repostory contains the pretrained DTLN-aec model for real-time acoustic echo cancellation.

figaro

Real-time voice-changer for voice-chat, etc. Will support many different voice-filters and features in the future. 🎵

hangzhou_house_knowledge

2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

hrnet-object-detection

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

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.

iva

IVA: Independent Vector Analysis implementation

lpcnet

Efficient neural speech synthesis

masp

Microphone Array Speech Processing

matlab2cpp

Convertion program from Matlab to C++ using Armadillo

netron

Visualizer for deep learning and machine learning models

nonlinear-system-identification-with-wavelet-discrete-transform

Nonlinear System Identification with Wavelet Discrete Transform

percepnet

(Work In Progress) Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech

pv_diesel_tool_python

Masterprojekt KI_Betriebsstrategien PV-Diesel Generator

rnnaec

rnnoise-master

sound-separation

sound_localization_algorithms

Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.

speech-measure-sdr-sar-stoi-pesq

Speech quality measure of SDR、SAR、STOI、ESTOI、PESQ via MATLAB

speech-separation-paper-tutorial

A must-read paper for speech separation based on neural networks