Datasets:
license: cc-by-nc-nd-4.0
task_categories:
- audio-classification
language:
- zh
- en
tags:
- music
- art
pretty_name: Chest voice and Falsetto Dataset
size_categories:
- 1K<n<10K
dataset_info:
- config_name: default
features:
- name: audio
dtype:
audio:
sampling_rate: 22050
- name: mel
dtype: image
- name: label
dtype:
class_label:
names:
'0': m_chest
'1': f_chest
'2': m_falsetto
'3': f_falsetto
- name: gender
dtype:
class_label:
names:
'0': female
'1': male
- name: singing_method
dtype:
class_label:
names:
'0': falsetto
'1': chest
splits:
- name: train
num_bytes: 293944
num_examples: 767
- name: validation
num_bytes: 98112
num_examples: 256
- name: test
num_bytes: 98494
num_examples: 257
download_size: 41000619
dataset_size: 490550
- config_name: eval
features:
- name: mel
dtype: image
- name: cqt
dtype: image
- name: chroma
dtype: image
- name: label
dtype:
class_label:
names:
'0': m_chest
'1': f_chest
'2': m_falsetto
'3': f_falsetto
- name: gender
dtype:
class_label:
names:
'0': female
'1': male
- name: singing_method
dtype:
class_label:
names:
'0': falsetto
'1': chest
splits:
- name: train
num_bytes: 447819
num_examples: 767
- name: validation
num_bytes: 149472
num_examples: 256
- name: test
num_bytes: 150054
num_examples: 257
download_size: 81547911
dataset_size: 747345
configs:
- config_name: default
data_files:
- split: train
path: default/train/data-*.arrow
- split: validation
path: default/validation/data-*.arrow
- split: test
path: default/test/data-*.arrow
- config_name: eval
data_files:
- split: train
path: eval/train/data-*.arrow
- split: validation
path: eval/validation/data-*.arrow
- split: test
path: eval/test/data-*.arrow
Dataset Card for Chest voice and Falsetto Dataset
The original dataset, sourced from the Chest Voice and Falsetto Dataset, includes 1,280 monophonic singing audio files in .wav format, performed, recorded, and annotated by students majoring in Vocal Music at the China Conservatory of Music. The chest voice is tagged as "chest" and the falsetto voice as "falsetto." Additionally, the dataset encompasses the Mel spectrogram, Mel frequency cepstral coefficient (MFCC), and spectral features of each audio segment, totaling 5,120 CSV files.
The original dataset did not distinguish between male and female voices, a critical detail for accurately identifying chest and falsetto vocal techniques. To correct this, we undertook a careful manual review and added gender annotations to the dataset. Following this process, we constructed the default subset of the current integrated version of the dataset, viewable in viewer. As the default subset had not undergone evaluation, we created the eval subset from it to verify the integrated dataset's effectiveness and completed the evaluation, viewable at [1]. Below is a brief overview of the data structure for each subset within the integrated dataset.
Dataset Structure
Default Subset Structure
| audio | mel (spectrogram) | label (4-class) | gender (2-class) | singing_method (2-class) |
|---|---|---|---|---|
| .wav, 22050Hz | .jpg, 22050Hz | m_chest, m_falsetto, f_chest, f_falsetto | male, female | chest, falsetto |
Eval Subset Structure
| mel | cqt | chroma | label (4-class) | gender (2-class) | singing_method (2-class) |
|---|---|---|---|---|---|
| .jpg, 0.496s, 22050Hz | .jpg, 0.496s, 22050Hz | .jpg, 0.496s, 22050Hz | 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
| Split(6:2:2) / Subset | default & eval |
|---|---|
| train | 767 |
| validation | 256 |
| test | 257 |
| total | 1280 |
| total duration(s) | 640.0513605442178 |
Usage
Default Subset
from datasets import load_dataset
ds = load_dataset("ccmusic-database/chest_falsetto")
for item in ds["train"]:
print(item)
for item in ds["validation"]:
print(item)
for item in ds["test"]:
print(item)
Eval Subset
from datasets import load_dataset
ds = load_dataset("ccmusic-database/chest_falsetto", name="eval")
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/chest_falsetto
cd chest_falsetto
Mirror
https://www.modelscope.cn/datasets/ccmusic-database/chest_falsetto
Dataset Description
Dataset Summary
For the pre-processed version, the audio clip was into 0.25 seconds and then transformed to Mel, CQT and Chroma spectrogram in .jpg format, resulting in 8,974 files. The chest/falsetto label for each file is given as one of the four classes: m chest, m falsetto, f chest, and f falsetto. The spectrogram, the chest/falsetto label and the gender label are combined into one data entry, with the first three columns representing the Mel, CQT and Chroma. The fourth and fifth columns are the chest/falsetto label and gender label, respectively. Additionally, the integrated dataset provides the function to shuffle and split the dataset into training, validation, and test sets in an 8:1:1 ratio. This dataset can be used for singing-related tasks such as singing gender classification or chest and falsetto voice classification.
Supported Tasks and Leaderboards
Audio classification, singing method classification, voice classification
Languages
Chinese, English
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
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
[1] https://huggingface.co/ccmusic-database/chest_falsetto
Citation Information
@dataset{zhaorui_liu_2021_5676893,
author = {Zhaorui Liu and Zijin Li},
title = {Music Data Sharing Platform for Computational Musicology Research (CCMUSIC DATASET)},
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