README.md

---
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](https://ccmusic-database.github.io/en/database/ccm.html#shou3), 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](#default-subset) of the current integrated version of the dataset, viewable in [viewer](https://www.modelscope.cn/datasets/ccmusic-database/chest_falsetto/dataPeview). As the default subset had not undergone evaluation, we created the [eval subset](#eval-subset) from it to verify the integrated dataset's effectiveness and completed the evaluation, viewable at [[1]](https://huggingface.co/ccmusic-database/chest_falsetto). Below is a brief overview of the data structure for each subset within the integrated dataset.

## Dataset Structure
<style>
  .datastructure td {
    vertical-align: middle !important;
    text-align: center;
  }
  .datastructure th {
    text-align: center;
  }
</style>
### Default Subset Structure
<table class="datastructure">
    <tr>
        <th>audio</th>
        <th>mel (spectrogram)</th>
        <th>label (4-class)</th>
        <th>gender (2-class)</th>
        <th>singing_method (2-class)</th>
    </tr>
    <tr>
        <td>.wav, 22050Hz</td>
        <td>.jpg, 22050Hz</td>
        <td>m_chest, m_falsetto, f_chest, f_falsetto</td>
        <td>male, female</td>
        <td>chest, falsetto</td>
    </tr>
</table>

### Eval Subset Structure
<table class="datastructure">
    <tr>
        <th>mel</th>
        <th>cqt</th>
        <th>chroma</th>
        <th>label (4-class)</th>
        <th>gender (2-class)</th>
        <th>singing_method (2-class)</th>
    </tr>
    <tr>
        <td>.jpg, 0.496s, 22050Hz</td>
        <td>.jpg, 0.496s, 22050Hz</td>
        <td>.jpg, 0.496s, 22050Hz</td>
        <td>m_chest, m_falsetto, f_chest, f_falsetto</td>
        <td>male, female</td>
        <td>chest, falsetto</td>
    </tr>
</table>

### 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
```python
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
```python
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
```bash
GIT_LFS_SKIP_SMUDGE=1 git clone [email protected]: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
```bibtex
@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