metadata

license: mit

VocalSound

This is an audio classification dataset for Vocal Sound Classification.

Classes = 6 , Split = Train-Test

Structure

audios folder contains audio files.
train.csv for training split and test.csv for the testing split.

Download

import os
import zipfile
import shutil
import huggingface_hub
audio_datasets_path = "DATASET_PATH/Audio-Datasets"
if not os.path.exists(audio_datasets_path): print(f"Given {audio_datasets_path=} does not exist. Specify a valid path ending with 'Audio-Datasets' folder.")
huggingface_hub.snapshot_download(repo_id="MahiA/VocalSound", repo_type="dataset", local_dir=os.path.join(audio_datasets_path, "VocalSound"))
zipfile_path = os.path.join(audio_datasets_path, 'VocalSound', 'VocalSound.zip')
with zipfile.ZipFile(zipfile_path,"r") as zip_ref:
    zip_ref.extractall(os.path.join(audio_datasets_path, 'VocalSound'))
shutil.move(os.path.join(audio_datasets_path, 'VocalSound','VocalSound', 'audios'), os.path.join(audio_datasets_path, 'VocalSound'))
shutil.move(os.path.join(audio_datasets_path, 'VocalSound','VocalSound', 'train.csv'), os.path.join(audio_datasets_path, 'VocalSound'))
shutil.move(os.path.join(audio_datasets_path, 'VocalSound','VocalSound', 'test.csv'), os.path.join(audio_datasets_path, 'VocalSound'))
shutil.rmtree(os.path.join(audio_datasets_path, 'VocalSound', 'VocalSound'))
os.remove(zipfile_path)

Acknowledgment

This dataset is a slightly processed/restructured version of data originally released by Source.
Please refer to the respective source for their licensing details and any additional information.

Contact

For questions or feedback, please create an issue.