jiuliguan Goto Github PK

aca-code

Matlab scripts accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)

acoustic-echo-cancellation-gui-matlab

Project of course DSI501 in MSE-FPT, based on algorithm and code on Mathworks, build GUI for visualization

acoustic-interference-cancellation

acoustic interference (echo) cancellation project in summer internship

adaptivefilter

adaptivefilterandactivenoisecancellation

Adaptive Filter and Active Noise Cancellation —— LMS, NLMS, RLS

aec

Acoustic Echo Cancellation with LMS/RLS (基于LMS/RLS的自适应回声抵消)

aec-1

Acoustic Echo Cancellation

aec3

AEC3 Extracted From WebRTC

aec_deepmodel

基于深度学习的声学回声消除基线代码

aec_res

Acoustic echo cancellation and residual echo suppression related scripts and models

android_kernel_huawei_mt7l09

Huawei Ascend Mate 7 kernel tree

asteroid

The PyTorch-based audio source separation toolkit for researchers

athena-signal

autodsp

Train custom adaptive filter optimizers without hand tuning or extra labels.

awesome-speech-enhancement

speech enhancement\speech seperation\sound source localization

beamformers

Easy to use Beamformers for multi-channel speech separation/enhancement

beamforming_examples

some Matlab examples of microphone array beamforming

beamformit

BeamformIt acoustic beamforming software

beamformit_matlab

A MATLAB implementation of CHiME4 baseline Beamformit

blog_data

放一些博客需要用到的文件

bssaec2020

A New Perspective of Auxiliary-Function-Based Independent Component Analysis in Acoustic Echo Cancellation

buddy

BUDDy: Single-Channel Blind Unsupervised Dereverberation with Diffusion Models

cbindgen

A project for generating C bindings from Rust code

cdec

Cross-Domain Echo Controller

co

An elegant and efficient C++ basic library for Linux, Windows and Mac.

controlboard

controboard sdk

cpp_primer_practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

cv

✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

ddsp

DDSP: Differentiable Digital Signal Processing