license: mit
task_categories:
- audio-classification
language:
- zh
- en
tags:
- music
- art
pretty_name: Chest voice and Falsetto Dataset
size_categories:
- 1K<n<10K
viewer: false
Dataset Card for Chest voice and Falsetto Dataset
Maintenance
GIT_LFS_SKIP_SMUDGE=1 git@hf.co:datasets/ccmusic-database/chest_falsetto
Dataset Description
- Homepage: https://ccmusic-database.github.io
- Repository: https://huggingface.co/datasets/ccmusic-database/chest_falsetto
- Paper: https://doi.org/10.5281/zenodo.5676893
- Leaderboard: https://ccmusic-database.github.io/team.html
- Point of Contact: N/A
Dataset Summary
This database contains 1280 monophonic singing audio (.wav format) of chest and falsetto voices, with chest voice tagged as chest and falsetto voice tagged as falsetto.
Supported Tasks and Leaderboards
Audio classification, singing method classification, voice classification
Languages
Chinese, English
Dataset Structure
| audio(.wav) | mel(.jpg) | cqt(.jpg) | chroma(.jpg) | label | gender | singing_method |
|---|---|---|---|---|---|---|
 |
 |
 |
m_chest, m_falsetto, f_chest, f_falsetto | male, female | chest, falsetto | |
| ... | ... | ... | ... | ... | ... | ... |
Data Instances
.zip(.wav, .jpg)
Data Fields
m_chest, f_chest, m_falsetto, f_falsetto
Data Splits
train, validation, test
Dataset Creation
Curation Rationale
Lack of a dataset for Chest voice and Falsetto
Source Data
Initial Data Collection and Normalization
Zhaorui Liu, Monan Zhou
Who are the source language producers?
Students from CCMUSIC
Annotations
Annotation process
1280 monophonic singing audio (.wav format) of chest and falsetto voices, with chest voice tagged as chest and falsetto voice tagged as falsetto.
Who are the annotators?
Students from CCMUSIC
Personal and Sensitive Information
None
Considerations for Using the Data
Social Impact of Dataset
Promoting the development of AI in the music industry
Discussion of Biases
Only for chest and falsetto voices
Other Known Limitations
Recordings are cut into slices that are too short; The CQT spectrum column has the problem of spectrum leakage, but because the original audio slice is too short, only 0.5s, it cannot effectively avoid this problem.
Additional Information
Dataset Curators
Zijin Li
Evaluation
https://huggingface.co/ccmusic-database/chest_falsetto
Licensing Information
MIT License
Copyright (c) CCMUSIC
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Citation Information
@dataset{zhaorui_liu_2021_5676893,
author = {Zhaorui Liu, Monan Zhou, Shenyang Xu, Yuan Wang, Zhaowen Wang, Wei Li and Zijin Li},
title = {CCMUSIC DATABASE: A Music Data Sharing Platform for Computational Musicology Research},
month = {nov},
year = {2021},
publisher = {Zenodo},
version = {1.1},
doi = {10.5281/zenodo.5676893},
url = {https://doi.org/10.5281/zenodo.5676893}
}
Contributions
Provide a dataset for distinguishing chest and falsetto voices