https://github.com/bagustris/compare2023
For ComParE 2023 Challenge
Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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✓Committers with academic emails
1 of 4 committers (25.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.3%) to scientific vocabulary
Repository
For ComParE 2023 Challenge
Basic Info
- Host: GitHub
- Owner: bagustris
- Language: Python
- Default Branch: master
- Size: 2.22 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Forked from EIHW/ComParE2023
ComParE23 - The Hume-Prosody Corpus (HP-C)
This repository provides the code for running my participation for The Hume-Prosody Corpus (HP-C) subchallenge of ComParE2023 (excluding feature extraction).
Getting the code
Clone this repository and checkout the correct branch:
bash
git clone https://github.com/bagustris/ComParE2023
Adding the data
Drop the data into ./data (~40GB), creating this directory structure:
console
data
├── features
│ ├── audeep
│ ├── deepspectrum
│ ├── opensmile
│ └── wav2vec
├── lab
├── raw
│ └── wav
└── wav
You can make a soft link (like in this repo) if your data is located elsewhere (e.g., in /data/).
ln -sf /data/14_ComParE23_HPC_AIST-SPRT/data ./data
Creating Virtual Environments via Miniconda
Create a virtual environment with Python 3.9:
conda create -n ComParE2023 python=3.9
Install dependencies:
pip install -r requirements.txt
Run the experiments:
python3 src/ml/svm.py wav2vec
Calculate the results' score:
python3 src/ml/metrics.py wav2vec
Extracting features
To extract features from Hugging Face, you can use feat_extract.py with
arguments name [output directory] and Hugging Face model name [e.g. facebook/wav2vec2-large-xlsr-53].
Format:
./feat_extract.py [output directory] [Hugging Face model name] [device]
Example:
bash
./feat_extract.py xlsr-53 jonatasgrosman/wav2vec2-large-xlsr-53-english
You need to change permission (chmod +x feat_extract.py) to run the script directly.
Owner
- Name: Bagus Tris Atmaja
- Login: bagustris
- Kind: user
- Location: Tsukuba
- Company: AIST
- Website: http://www.bagustris.blogspot.com
- Twitter: btatmaja
- Repositories: 221
- Profile: https://github.com/bagustris
Researcher @aistairc @VibrasticLab
GitHub Events
Total
Last Year
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| B Atmaja | b****a@a****p | 14 |
| aliceebaird | a****d@g****m | 5 |
| Maurice Gerczuk | m****k@i****e | 4 |
| aliceebaird | a****e@h****i | 3 |
Committer Domains (Top 20 + Academic)
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