nikeshbajaj / phyaat

PhyAAt: Physiology of Auditory Attention - Processing Library

PhyAAt: Physiology of Auditory Attention

Predictive analysis of auditory attention from physiological signals

Project Homepage

PyPi - project

Links: Homepage | Documentation | Github | PyPi - project | _ Installation: pip install phyaat

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Table of contents

• Installation
• Getting Started
• Examples with Notebooks
• Cite-As

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Requirement :

['numpy','scipy','matplotlib','spkit']

Installation

with pip

pip install phyaat

Build from the source

Download the repository or clone it with git, after cd in directory build it from source with

python setup.py install

Getting Started

For starting check here - Getting Started

Contents are being updated on the webpage continuously, please check there for updates

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Cite As

@misc{bajaj2020phyaat,
      title={PhyAAt: Physiology of Auditory Attention to Speech Dataset}, 
      author={Nikesh Bajaj and Jesús Requena Carrión and Francesco Bellotti},
      year={2020},
      eprint={2005.11577},
      archivePrefix={arXiv},
      primaryClass={cs.HC}
}

Contacts:

• Nikesh Bajaj
• http://nikeshbajaj.in
• [email protected]
• [email protected]

PhD Student: Queen Mary University of London & University of Genoa

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