license:mit Audio Voice Percussion region:us
    Dataset consisting of isolated beatbox samples ,
    reimplementation of the dataset from the following 
    paper: BaDumTss: Multi-task Learning for Beatbox Transcription
# @inproceedings{luong-vu-2016-non,
#     title = "A non-expert {K}aldi recipe for {V}ietnamese Speech Recognition System",
#     author = "Luong, Hieu-Thi  and
#       Vu, Hai-Quan",
#     booktitle = "Proceedings of the Third International Workshop on Worldwide Language Service Infrastructure and Second Workshop on Open Infrastructures and Analysis Frameworks for Human Language Technologies ({WLSI}/{OIAF}4{HLT}2016)",
#     month = dec,
#     year = "2016",
#     address = "Osaka, Japan",
#     publisher = "The COLING 2016 Organizing Committee",
#     url = "https://aclanthology.org/W16-5207",
#     pages = "51--55",
# }
#
---
pretty_name: "Beatbox Dataset"
tags:
    - Audio
    - Voice
    - Percussion
license: "mit"
arxiv: https://doi.org/10.1007/978-3-031-05981-0_14
---

# Beatbox Dataset

Dataset consisting of isolated beatbox samples. Reimplementation of a dataset from the paper **[BaDumTss: Multi-task
Learning for Beatbox
Transcription](https://link.springer.com/chapter/10.1007/978-3-031-05981-0_14])**

## Citations

Mehta, P., Maheshwari, M., Joshi, B., Chakraborty, T. (2022). BaDumTss: Multi-task
Learning for Beatbox Transcription. In: Gama, J., Li, T., Yu, Y., Chen, E., Zheng, Y.,
Teng, F. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2022. Lecture Notes
in Computer Science(), vol 13282. Springer, Cham.
https://doi.org/10.1007/978-3-031-05981-0_14
