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Pytorch implementation of our paper: Audio-Visual Speech Separation with Visual Features Enhanced by Adversarial Training.
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network
This is the code&dataset for our paper [Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment. AAAI 2018]
The PyTorch-based audio source separation toolkit for researchers
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"
A data augmentations library for audio, image, text, and video.
Deep-Learning-Based Audio-Visual Speech Enhancement and Separation
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
speech enhancement\speech seperation\sound source localization
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.
Code to create networks that localize sounds sources in 3D environments
BioCPPNet: Automatic Bioacoustic Source Separation with Deep Neural Networks
Estimate the number of concurrent speakers from single channel mixtures to crack the "cocktail-party” problem.
The CMake version of cuda_by_example
Deep Learning with PyTorch, published by Packt
This repository contains the implementation for the paper "EMP-SSL: Towards Self-Supervised Learning in One Training Epoch."
End-to-End Speech Processing Toolkit
Code and datasets for 'Few-Shot Audio-Visual Learning of Environment Acoustics' (NeurIPS 2022)
FSA/FST algorithms, differentiable, with PyTorch compatibility.
Understand of the fundamentals of digital signal processing for Machine Learning/Deep Learning applications.
Tools for handling speech data in machine learning projects.
PyTorch implementation of LiMuSE
Executable code based on Google articles
Python port of Lyon's model calculation from Auditory Toolbox.
Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.