RNN Classifier to Identify the Influence of Oud Master on the Way to Play of Oud Player

Mehdi Zhar, Omar Bouattane, Lhoussain Bahatti

2021

Abstract

We propose in this work, a model for recognizing the effect of the famous Oud masters on the Oud player's style, and for identifying which Oud academy, an Oud player belongs to, based on extracted attributes using deep learning classification algorithm RNN. The subsequent enhancements are often focused on the integration of a screening mechanism for the optimum properties. In this initiative, functional cases have also been built to assess the validity and reliability of our model.

Paper Citation

in Harvard Style

Zhar M., Bouattane O. and Bahatti L. (2021). RNN Classifier to Identify the Influence of Oud Master on the Way to Play of Oud Player. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML, ISBN 978-989-758-559-3, pages 399-403. DOI: 10.5220/0010735300003101

in Bibtex Style

@conference{bml21,
author={Mehdi Zhar and Omar Bouattane and Lhoussain Bahatti},
title={RNN Classifier to Identify the Influence of Oud Master on the Way to Play of Oud Player},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,},
year={2021},
pages={399-403},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010735300003101},
isbn={978-989-758-559-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,
TI - RNN Classifier to Identify the Influence of Oud Master on the Way to Play of Oud Player
SN - 978-989-758-559-3
AU - Zhar M.
AU - Bouattane O.
AU - Bahatti L.
PY - 2021
SP - 399
EP - 403
DO - 10.5220/0010735300003101