Dataset Card for Bel Conto and Chinese Folk Song Singing Tech
The raw dataset contains 203 acapella singing clips (sampled at 22,050 Hz) that are sung in two styles, Bel Conto and Chinese folk singing style by professional vocalists. All of them are sung by professional vocalists and were recorded in professional commercial recording studios. Besides the original version, the pre-processed version is included.
Usage
Eval Subset
from datasets import load_dataset
dataset = load_dataset("ccmusic-database/bel_canto", name="eval")
for item in ds["train"]:
print(item)
for item in ds["validation"]:
print(item)
for item in ds["test"]:
print(item)
Raw Subset
from datasets import load_dataset
dataset = load_dataset("ccmusic-database/bel_canto", name="default")
for item in ds["train"]:
print(item)
for item in ds["validation"]:
print(item)
for item in ds["test"]:
print(item)
Maintenance
GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:datasets/ccmusic-database/bel_canto
cd bel_canto
Dataset Summary
This database contains hundreds of acapella singing clips that are sung in two styles, Bel Conto and Chinese national singing style by professional vocalists. All of them are sung by professional vocalists and were recorded in professional commercial recording studios.
Supported Tasks and Leaderboards
Audio classification, Image classification, singing method classification, voice classification
Languages
Chinese, English
Dataset Structure
Eval Subset
mel (.jpg, 1.6s, 48000Hz) |
cqt (.jpg, 1.6s, 48000Hz) |
chroma (.jpg, 1.6s, 48000Hz) |
label (4-class) |
gender (2-class) |
singing_method (2-class) |
---|---|---|---|---|---|
m_bel, f_bel, m_folk, f_folk | male, female | Folk_Singing, Bel_Canto | |||
... | ... | ... | ... | ... | ... |
Raw Subset
audio(.wav, 22050Hz) | mel(spectrogram, .jpg, 22050Hz) | label(4-class) | gender(2-class) | singing_method(2-class) |
---|---|---|---|---|
m_bel, f_bel, m_folk, f_folk | male, female | Folk_Singing, Bel_Canto | ||
... | ... | ... | ... | ... |
Data Instances
.zip(.wav, .jpg)
Data Fields
m_bel, f_bel, m_folk, f_folk
Data Splits
Split | Eval | Raw |
---|---|---|
total | 9603 | 203 |
train(80%) | 7682 | 162 |
validation(10%) | 960 | 20 |
test(10%) | 961 | 21 |
Dataset Creation
Curation Rationale
Lack of a dataset for Bel Conto and Chinese folk song singing tech
Source Data
Initial Data Collection and Normalization
Zhaorui Liu, Monan Zhou
Who are the source language producers?
Students from CCMUSIC
Annotations
Annotation process
All of them are sung by professional vocalists and were recorded in professional commercial recording studios.
Who are the annotators?
professional vocalists
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 Chinese songs
Other Known Limitations
Some singers may not have enough professional training in classical or ethnic vocal techniques.
Additional Information
Dataset Curators
Zijin Li
Evaluation
https://huggingface.co/ccmusic-database/bel_canto
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 = {Monan Zhou, Shenyang Xu, Zhaorui Liu, Zhaowen Wang, Feng Yu, Wei Li and Baoqiang Han},
title = {CCMusic: an Open and Diverse Database for Chinese and General Music Information Retrieval Research},
month = {mar},
year = {2024},
publisher = {HuggingFace},
version = {1.2},
url = {https://huggingface.co/ccmusic-database}
}
Contributions
Provide a dataset for distinguishing Bel Conto and Chinese folk song singing tech
- Downloads last month
- 0