An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: auditory-attention

Nikeshbajaj/phyaat

PhyAAt: Physiology of Auditory Attention - Processing Library

Language: Python - Size: 44.9 KB - Last synced at: 4 days ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 6

PhyAAt/PhyAAt.github.io

PhyAAt homepage

Language: HTML - Size: 39.4 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 1

mborsdorf/GlobalPhoneMS_Scripts

Language: MATLAB - Size: 5.44 MB - Last synced at: 11 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

mborsdorf/UniversalSpeakerExtraction

Language: Python - Size: 9.42 MB - Last synced at: 11 months ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 4

mborsdorf/TargetLanguageExtraction

Size: 21.5 KB - Last synced at: 11 months ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

RichardSneyd/auditory-trainer

NeuroTune is a free auditory intergratino and brainwave entrainment tool. A versatile alternative to premium solutions such as Tomatis Method

Language: HTML - Size: 126 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jacoxu/ASAM

This is the code&dataset for our paper [Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment. AAAI 2018]

Language: Python - Size: 49.1 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 54 - Forks: 20

alexandrosstergiou/PlayItBack

[ICASSP 2023] PyTorch code for "Play It Back: Iterative Attention for Audio Recognition"

Language: Python - Size: 57.2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 2

erfunmirzaei/NBML-BCI-Competetion-2022

The submission code and dataset for the Fifth BCI Competition focusing on auditory attention held by Iranian National Brain Mapping Laboratory (NBML) .

Language: Jupyter Notebook - Size: 32.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0