Alex Tung (alextongue)

alextongue

Geek Repo

Location:San Diego, CA

Home Page:alextongue.github.io

Github PK Tool:Github PK Tool

Alex Tung's repositories

hrtf-pca

Performs a principal component analysis (PCA) on a set of head-related transfer functions (HRTFs).

Language:MATLABLicense:MITStargazers:14Issues:4Issues:0

ambisonic-downsteering

An adaptive LMS ambisonic downsampler that transforms FOA signals based on reference HOA material. Includes an original framework for ambisonics processing and frame-wise visualization.

Language:MATLABStargazers:1Issues:2Issues:0

live-project

Documentation for a big personal project of mine.

sofa-scraper

Some starter files to start working with HRTFs in the SOFA format. Like a sourdough starter but without the sourdough.

Language:Jupyter NotebookLicense:MITStargazers:1Issues:0Issues:0
Language:SCSSLicense:MITStargazers:0Issues:0Issues:0

audiogram-filtbank

Fitting optimizations on "A Computationally Efficient Nonuniform Filter Banks for Hearing Aids" by Lian et al. (https://doi.org/10.1109/TCSI.2005.857871)

Language:MATLABStargazers:0Issues:2Issues:0
Language:PythonLicense:MITStargazers:0Issues:0Issues:0

just-the-docs

A modern, high customizable, responsive Jekyll theme for documention with built-in search.

Language:CSSLicense:MITStargazers:0Issues:0Issues:0

markov-coltrane

MIDI melody prediction using a second-order Markov models. Includes a repoirtoire of 20 melodies from John Coltrane.

Language:JuliaStargazers:0Issues:0Issues:0

triadic-grad

Converting Norman Cook's harmonic tension grid into a gradient descent: https://asa.scitation.org/doi/pdf/10.1121/1.5018342. Runs on Julia, includes deprecated code for MATLAB

Language:JuliaStargazers:0Issues:0Issues:0

SGL-DANN

Applying small group learning to the problem of domain adaptation

Language:PythonStargazers:0Issues:1Issues:0

sgl-domain-adaptation

Domain adaptation study based on Small Group Learning (SGL) (Du et al. 2020): https://arxiv.org/abs/2012.12502

Language:PythonStargazers:0Issues:0Issues:0

vaessl-doa

VAESSL: Train a computer to locate acoustic sources in reverberant environments with only few labels, using semi-supervised learning with variational autoncoders.

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0