Science Score: 44.0%
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
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (8.9%) to scientific vocabulary
Keywords
Repository
A screaming vocal samples dataset.
Basic Info
Statistics
- Stars: 13
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 0
Topics
Metadata Files
README.md
EVA: The Extreme Vocals Archive Dataset
This is the final project I did when I was studying the MIR course in NTHU. I decided to do make a dataset full of screaming vocals samples, because this kind of vocals is less concerned in the MIR field. The making of this dataset may be a starting point for future research.
Raw audio
I pick up 16 songs as listed below from The 'Mixing Secrets' Free Multitrack Download Library, and used audacity to slice vocal tracks into small clips, ended up with 565 of samples.
The Apprehended: 'Still Flyin'
Cnoc An Tursa: 'Bannockburn'
The Complainiacs: 'Etc'
Dark Ride: 'Burning Bridges'
Dark Ride: 'Hammer Down'
Dark Ride: 'Piece Of Me'
Death Of A Romantic: 'The Well'
Decypher: 'Unseen'
Headwound Harry: 'XXXV'
Hollow Ground: 'Ill Fate'
Hollow Ground: 'Left Blind'
Last Legacy: 'Who's Who In Hell'
Storm Of Particles: 'Of Ice And Hopeless Fate'
Timboz: 'Pony'
Titanium: 'Haunted Age'
Wall Of Death: 'Femme'
I named each clips using initials, so the first clips from the track 43_Vox18.wav in The Apprehended - Still Flyin
is named as TA_SF_43_Vox18_01.wav, etc. I can't provide the raw audio, but you can use the files in mark_time
which contain the start time and end time of each clips, to manually recreate them.
Data
- annotations: the vocal techniques of each samples, labeled by metal youtuber Edward.
- features: audio features (except chroma related) extracted with librosa.
Code
Require pandas, sklearn, matplotlib and librosa be installed.
- get_features: features extraction from the audio (used to create
features.csv). Most of the code are borrowed from FMA. - analysis: show the melspectrogram of some samples. Require raw audio files.
- baseline: baseline svm model for vocal techniques recognition.
Melspectrogram of some samples
Samples distribution after dimension reduction using LDA
Environment
- ubuntu 16.04 LTS
- python3.5.2 (using Pycharm 2018.1.4)
I also wrote a report in chinese about the making process.
Owner
- Name: YCY
- Login: yoyolicoris
- Kind: user
- Location: Taiwan/UK
- Twitter: yoyolicoris
- Repositories: 118
- Profile: https://github.com/yoyolicoris
I'm a Djentle man. When I hear 0000000 I click like.
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: 'EVA: The Extreme Vocals Archive Dataset'
message: >-
If you use this dataset, please cite it using the
metadata from this file.
type: dataset
authors:
- given-names: Chin-Yun
family-names: Yu
email: ya70201@gmail.com
url: "https://github.com/yoyololicon/eva"
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 1
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 1
- Total pull request authors: 0
- Average comments per issue: 0.0
- 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
- yoyolicoris (1)