Automated Segmentation of Folk Songs Using Artificial Neural Networks

Andreas Neocleous, Nicolai Petkov, Christos N. Schizas

Abstract

Two different systems are introduced, that perform automated audio annotation and segmentation of Cypriot folk songs into meaningful musical information. The first system consists of three artificial neural networks (ANNs) using timbre low-level features. The output of the three networks is classifying an unknown song as “monophonic” or “polyphonic”. The second system employs one ANN using the same feature set. This system takes as input a polyphonic song and it identifies the boundaries of the instrumental and vocal parts. For the classification of the “monophonic – polyphonic”, a precision of 0.88 and a recall of 0.78 has been achieved. For the classification of the “vocal – instrumental” a precision of 0.85 and recall of 0.83 has been achieved. From the obtained results we concluded that the timbre low-level features were able to capture the characteristics of the audio signals. Also, that the specific ANN structures were suitable for the specific classification problem and outperformed classical statistical methods.

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Paper Citation


in Harvard Style

Neocleous A., Petkov N. and N. Schizas C. (2014). Automated Segmentation of Folk Songs Using Artificial Neural Networks . In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014) ISBN 978-989-758-054-3, pages 144-151. DOI: 10.5220/0005049101440151


in Bibtex Style

@conference{ncta14,
author={Andreas Neocleous and Nicolai Petkov and Christos N. Schizas},
title={Automated Segmentation of Folk Songs Using Artificial Neural Networks},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)},
year={2014},
pages={144-151},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005049101440151},
isbn={978-989-758-054-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)
TI - Automated Segmentation of Folk Songs Using Artificial Neural Networks
SN - 978-989-758-054-3
AU - Neocleous A.
AU - Petkov N.
AU - N. Schizas C.
PY - 2014
SP - 144
EP - 151
DO - 10.5220/0005049101440151