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Name: MichaelChen
Type: User
Blog: [email protected]
Name: MichaelChen
Type: User
Blog: [email protected]
A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch
This is a list of datasets consisting of speech, music, and sound effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio applications. It is mainly used for speech recognition, speech synthesis, singing voice synthesis, music information retrieval, music generation, etc.
Papers of ASR, Tools of ASR
A curated list of awesome computer vision resources
A collection of resources and papers on Diffusion Models
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the worldโs resources for speech enhancement and make them universally accessible and useful.
speech enhancement\speech seperation\sound source localization
A curated list of awesome JavaFX libraries, books, frameworks, etc...
Polaris + Bella = Bolaris
BUDDy: Single-Channel Blind Unsupervised Dereverberation with Diffusion Models
Conditional Diffusion Probabilistic Model for Speech Enhancement
Official PyTorch Implementation of CleanUNet (ICASSP 2022)
A wrapper/facade/whatever to enable/ease the use of jNetPcap (a libpcap based packet sniffing lib) in Clojure
Conformer-based Metric GAN for speech enhancement
:mortar_board: Path to a free self-taught education in Computer Science!
Official repo for consistency models.
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement
All of the mini-projects I completed for Rice University's online Python courses.
Official repository of the paper "Solving Audio Inverse Problems with a Diffusion Model", submitted to ICASSP 23
This repository contains the audio samples for "D2Former: A Fully Complex Dual-Path Dual-Decoder Conformer Network using Joint Complex Masking and Complex Spectral Mapping for Monaural Speech Enhancement" which is submitted to ICASSP 2023.
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
Implementation of Deep Complex UNet Using PyTorch
Noise supression using deep filtering
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.