le-xiaohuai-speech Goto Github PK
Name: XiaohuaiLe-AALab
Type: User
Company: Nanjing University; RTC Lab ByteDance
Location: Nanjing China
Name: XiaohuaiLe-AALab
Type: User
Company: Nanjing University; RTC Lab ByteDance
Location: Nanjing China
Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high performance, the framework is ideal for transcoding, AI inference, algorithm integration, live video streaming, and more.
Noise supression using deep filtering
This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.
Implementation of paper "DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement"
Results of the blind test set of the 3rd Deep Noise Suppression Challenge
Config files for my GitHub profile.
(Work In Progress) Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech
集成了Tensorflow 2版本的端到端语音识别模型,并且RTF(实时率)在0.1左右/Mandarin State-of-the-art Automatic Speech Recognition in Tensorflow 2
A semi-supervised single channel speech enhancement method using Variational Autoencoder and Non-negative Matrix Factorization
Production First and Production Ready End-to-End Speech Recognition Toolkit
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