Name: Ono Lab @ TMU
Type: Organization
Bio: Run by Professor Nobutaka Ono, Ono Lab provides state of the art algorithms and methods for audio processing and source separation.
Twitter: tmu_onolab
Location: Tokyo Metropolitan University
Blog: http://www.comp.sd.tmu.ac.jp/onolab/index-e.html
Ono Lab @ TMU's Projects
Ono laboratory audio signal processing exercise for beginners.
Acoustic Signal Processing Tutorial for Ono Lab. Members
音響信号処理100本ノック - Learn audio signal processing in a 100 problems.
Hardware design files and software for a flexible and portable sound-to-light conversion device.
Multimodal formulation of IVA using conventional microphones and power sensing blinkies.
Chainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)
Fast Independent Vector Extraction: Code and data to reproduce the results from the paper.
Code to reproduce the experiments in the paper "Fast and stable blind source separation with rank-1 updates" presented at ICASSP 2020.
Code to reproduce the results in the paper "Blinkies: Open source sound-to-light conversion sensors for large-scale acoustic sensing and applications".
A virtual assistant letting people know when the lab is open and coffee is ready.
A Python library for blind source separation.
A collection of routines to do useful things with sound-to-light conversion sensors.
Code to do blind source separation with more microphones than sources using auxilliary based independent vector analysis.
header only, dependency-free deep learning framework in C++14