covyt-baseline-code

Baseline code for COVYT dataset

https://github.com/atriantafyllopoulos/covyt-baseline-code

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
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  • Scientific vocabulary similarity
    Low similarity (6.1%) to scientific vocabulary
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Repository

Baseline code for COVYT dataset

Basic Info
  • Host: GitHub
  • Owner: ATriantafyllopoulos
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 7.81 KB
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  • Watchers: 1
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  • Releases: 1
Created almost 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.md

COVYT: Coronavirus YouTube Speech Dataset Baseline Code

This codebase contains code for the baseline experiments included in the following publication:

@article{Triantafyllopoulos22-COVYT, title={COVYT: Introducing the Coronavirus YouTube and TikTok speech dataset featuring the same speakers with and without infection}, author={Triantafyllopoulos, Andreas and Semertzidou, Anastasia and Song, Meishu and Pokorny, Florian B and Schuller, Bj{\"o}rn W}, journal={arXiv preprint arXiv:2206.11045}, year={2022} }

which introduced the COVYT dataset:

@dataset{andreas_triantafyllopoulos_2022_6962930, author = {Andreas Triantafyllopoulos and Anastasia Semertzidou and Meishu Song and Florian B. Pokorny and Björn W. Schuller}, title = {{COVYT: Introducing the Coronavirus YouTube speech dataset featuring the same speakers with and without infection}}, month = sep, year = 2022, publisher = {Zenodo}, version = {1.0.0}, doi = {10.5281/zenodo.6962930}, url = {https://doi.org/10.5281/zenodo.6962930} }

To run the code, first install the requirements via:

bash pip install -r requirements.txt

Then download and extract the COVYT dataset. When running run.sh, you need to specify the downloaded data and an output directory for your experiments.

Owner

  • Name: Andreas Triantafyllopoulos
  • Login: ATriantafyllopoulos
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Triantafyllopoulos
    given-names: Andreas
  - family-names: Semertzidou
    given-names: Anastasia
  - family-names: Meishu
    given-names: Song
  - family-names: Pokorny
    given-names: Florian
  - family-names: Schuller
    given-names: Björn
title: "COVYT Baseline Code"
date-released: 2022-09-01

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Dependencies

requirements.txt pypi
  • audformat ==0.12.2
  • audmetric ==1.1.0
  • scikit-learn ==1.0.1
  • seaborn ==0.11.2