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aec_deepmodel

基于深度学习的声学回声消除基线代码

ai-conference-papers

The papers published in top-tier AI conferences in recent years.

android_vuln_poc-exp

This project contains pocs and exploits for vulneribilities I found (mostly)

apisix-dashboard

Dashboard for Apache APISIX

aports

Mirror of aports repository

awesome-speech-enhancement

speech enhancement\speech seperation\sound source localization

awesome-speech-enhancement-1

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.

baidupcs

百度网盘命令行工具。The terminal utility for Baidu Network Disk.

baidupcs-go

百度网盘客户端 - Go语言编写

book118

使用playwright强力驱动的原创力文档book118和豆丁网docin下载工具

books

整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据 、推荐系统、数据库、数据挖掘 、机器学习 、深度学习 、算法等。

bssd

Blind Source Separation and Dereverberation

c

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

c-lstm

C语言实现LSTM（请移步https://github.com/az13js-org/C-LSTM）

c-machine-learning

C语言手撕机器学习/深度学习算法

c-utils

Modular, drop-in, library of some most commonly required utilities for C applications

canal

阿里巴巴mysql数据库binlog的增量订阅&消费组件 。阿里云DRDS( https://www.aliyun.com/product/drds )、阿里巴巴TDDL 二级索引、小表复制powerd by canal. Aliyun Data Lake Analytics https://www.aliyun.com/product/datalakeanalytics powered by canal

canal-go

Alibaba mysql database binlog incremental subscription & consumer components Canal's golang client[阿里巴巴mysql数据库binlog的增量订阅&消费组件 Canal 的 go 客户端 ] https://github.com/alibaba/canal

canal_mysql_nosql_sync

基于canal 的 mysql 与 redis/memcached/mongodb 的 nosql 数据实时同步方案 案例，canal client

chrome-app-samples

Chrome Apps

clstm

A small C++ implementation of LSTM networks, focused on OCR.

conv-tasnet

conv-tasnet-1

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

ctfs

Writeups for various CTFs

deepcomplexcrn

deepstream_reference_apps

Samples for TensorRT/Deepstream for Tesla & Jetson

denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

dereverberation-and-denoising

MATLAB codes for estimating the room impulse response (RIR) and exemplar weights for speech dereverberation in noisy environments using the NMF and NMD -based techniques

dnn_wpe

dns-challenge

This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.