wantt

ffmpeg-python

Python bindings for FFmpeg - with complex filtering support

AutoSpeech

[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang

cmake-examples

Useful CMake Examples

crfpp

CRF++: Yet Another CRF toolkit

face_recognition

The world's simplest facial recognition api for Python and the command line

GiantMIDI-Piano

gogozhifu

个人免签支付系统，GOGO支付，无手续费，免挂机，收款实时回调

janus-gateway

Janus WebRTC Server

Jiagu

Jiagu深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类

k2

FSA/FST algorithms, differentiable, with PyTorch compatibility.

leaderboard

SpeechIO Leaderboard: a large, robust, comprehensive, benchmarking platform for Automatic Speech Recognition.

mikrotik-frp

mtSecKill

京东茅台抢购

nlp_tool

Open-IM-SDK-Flutter

OpenIM：由前微信技术专家打造的基于 Go 实现的即时通讯（IM）项目，Flutter版本IM SDK

Open-IM-Server

OpenIM：由前微信技术专家打造的基于 Go 实现的即时通讯（IM）项目，从服务端到客户端SDK开源即时通讯（IM）整体解决方案，可以轻松替代第三方IM云服务，打造具备聊天、社交功能的app。

openface

Face recognition with deep neural networks.

pyannote-audio-demo

react-native-ip-sec-vpn

React Native IPSec VPN Module

RepVGG

RepVGG: Making VGG-style ConvNets Great Again

rnnoise_16k

implementation of rnnoise_16k

Speech-Emotion-Analyzer

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

speechmetrics

A wrapper around speech quality metrics MOSNet, BSSEval, STOI, PESQ, SRMR, SISDR

SpeechSeparation

Using SepFormer

svoice

We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.

TalkNet_ASD

TalkNet: Is Someone Speaking? Exploring Long-term Temporal Features for Audio-visual Active Speaker Detection

testing

VoiceprintRecognition-Tensorflow

使用Tensorflow实现声纹识别

voxceleb_trainer

In defence of metric learning for speaker recognition

wenet

Production First and Production Ready End-to-End Speech Recognition Toolkit