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aec-challenge

AEC Challenge

asteroid

The PyTorch-based audio source separation toolkit for researchers

asteroid-filterbanks

:rocket: Asteroid's filterbanks

athena-signal

beamforming-for-speech-enhancement

simple delaysum, MVDR and CGMM-MVDR

chinese_text_normalization

Chinese text normalization for speech processing

clash-rules

🦄️ 🎃 👻 Clash Premium 规则集(RULE-SET)，兼容 ClashX Pro、Clash for Windows 客户端。

cmake-demo

《CMake入门实战》源码

deeplearningexamples

NVIDIA BERT from Training to TensorRT inference example

dictionary_learning_for_declipping_python

Consistent dictionary learning algorithm for signal declipping (Python code)

distant_speech_recognition

spatial signal processing toolkit a.k.a beamforming toolkit 2.0 (BTK2.0)

dns-challenge

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

dual-path-rnn-pytorch

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

engine-sim

Combustion engine simulator that generates realistic audio.

how-to-optimize-gemm

kaldi

kaldi-asr/kaldi is the official location of the Kaldi project.

kms-server-deploy

一键搭建kms激活服务端&&Windows客户端一键激活脚本

leetcode

LeetCode题解，151道题完整版。广告：推荐刷题网站 https://www.lintcode.com/?utm_source=soulmachine

leetcode_demo

leetcode cpp resolution

libwebrtc

fork old version webrtc

lpcnet

Efficient neural speech synthesis

lpctron

Tacotron2 + LPCNET for complete End-to-End TTS System

mgeconvert

MegEngine到其他框架的转换器

mockingbird

🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

moevoicestudio

一个使用C++编写的音频处理软件

nkf-aec

Acoustic Echo Cancellation with Nerual Kalman Filtering

nres

Neural Residual Echo Suppressor

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

percepnet

Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech