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BaDumTss: Multi-task Learning for Beatbox Transcription

This is the code and the dataset for the paper titled

BaDumTss: Multi-task Learning for Beatbox Transcription. Priya Mehta*, Meet Maheshwari*, Brihi Joshi, Tanmoy Chakraborty

accepted at The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’22), May 16-19, 2022, Chengdu, China.

If you end up using this code or the data, please cite our paper. (Citation coming soon!)

Quick Start

Dataset Link

The dataset has been uploaded at the following Google Drive link - here

After downloading this version of the dataset, extract it.

Running the code

Run the model.py as follows -

python model.py

This will pickle models for for transcription and also print performance metrics. To run the version of the model without the onset predictions, use model_without_onsets.py.

Contact

If you face any problem in running this code, you can contact us at meet20012[at]iiitd[dot]ac[dot]in or priya20033[at]iiitd[dot]ac[dot]in or brihi16142[at]iiitd[dot]ac[dot]in

License

Copyright (c) 2022 Priya Mehta, Meet Maheshwari, Brihi Joshi, Tanmoy Chakraborty

For license information, see LICENSE or http://mit-license.org

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