ccmusic-database/instrument_timbre

Dataset Card for Chinese Musical Instruments Timbre Evaluation Database

The raw dataset encompasses subjective timbre evaluation scores comprising 16 terms, such as bright, dark, raspy, etc, evaluated across 37 Chinese instruments and 24 Western instruments by 14 participants with musical backgrounds in a subjective evaluation experiment. Additionally, it includes 10 reports on spectrogram analysis of 10 instruments.

Viewer

https://www.modelscope.cn/datasets/ccmusic-database/instrument_timbre/dataPeview

Dataset Structure

audio(.wav, 22050Hz)	mel(.jpg, 22050Hz)	instrument_name	slim / bright / ... / turbid
		string	float(0-10)
...	...	...	...

Data Instances

.zip(.wav), .csv

Data Fields

Chinese traditional instruments / Western instruments

Data Splits

Chinese, Western

Dataset Summary

During the integration, we have crafted the Chinese part and the Non-Chinese part into two splits. Each split is composed of multiple data entries, with each entry structured across 18 columns. The Chinese split encompasses 37 entries, while the Non-Chinese split includes 24 entries. The premier column of each data entry presents the instrument recordings in the .wav format, sampled at a rate of 22,050 Hz. The second column provides the Chinese pinyin or English name of the instrument. The subsequent 16 columns correspond to the 10-point score of the 16 terms. This dataset is suitable for conducting timber analysis of musical instruments and can also be utilized for various single or multiple regression tasks related to term scoring.

Supported Tasks and Leaderboards

Musical Instruments Timbre Evaluation

Languages

Chinese, English

Usage

from datasets import load_dataset

dataset = load_dataset("ccmusic-database/instrument_timbre")
for item in ds["Chinese"]:
    print(item)

for item in ds["Western"]:
    print(item)

Maintenance

GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:datasets/ccmusic-database/instrument_timbre
cd instrument_timbre

Dataset Creation

Curation Rationale

Lack of a dataset for musical instruments timbre evaluation

Source Data

Initial Data Collection and Normalization

Zhaorui Liu, Monan Zhou

Who are the source language producers?

Students from CCMUSIC

Annotations

Annotation process

Subjective timbre evaluation scores of 16 subjective timbre evaluation terms (such as bright, dark, raspy) on 37 Chinese national and 24 Non-Chinese terms given by 14 participants in a subjective evaluation experiment

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 traditional instruments

Other Known Limitations

Limited data

Additional Information

Dataset Curators

Zijin Li

Evaluation

For Chinese instruments

Yiliang, J. et al. (2020) ‘Analysis of Chinese Musical Instrument Timbre Based on Objective Features’, Journal of Fudan University(Natural Science), pp. 346-353+359. doi:10.15943/j.cnki.fdxb-jns.2020.03.014.

For Non-Chinese instruments

Jiang, Wei et al. “Analysis and Modeling of Timbre Perception Features of Chinese Musical Instruments.” 2019 IEEE/ACIS 18th International Conference on Computer and Information Science (ICIS) (2019): 191-195.

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 musical instruments' timbre evaluation