covyt-baseline-code
Baseline code for COVYT dataset
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 -
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (6.1%) to scientific vocabulary
Repository
Baseline code for COVYT dataset
Basic Info
- Host: GitHub
- Owner: ATriantafyllopoulos
- License: mit
- Language: Python
- Default Branch: main
- Size: 7.81 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
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
- Repositories: 1
- Profile: https://github.com/ATriantafyllopoulos
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
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- audformat ==0.12.2
- audmetric ==1.1.0
- scikit-learn ==1.0.1
- seaborn ==0.11.2