Illegal Audio Copy Detection using Fundamental Frequency Map

Heui-su Son, Sung-woo Byun, Soek-Pil Lee

2019

Abstract

In this paper, we present a new audio identification system which is robust to various attacks. The types of attacks employed are modification such as changes of tempo, pitch and speed and noise addition. We propose a two-dimensional representation for the audio signal called FFMAP. This consists of pitch components and frame components. We also employ Pearson’s correlation score to calculate similarity between original audio data and query. Experimental results show that the proposed algorithm has a high performance.

Paper Citation

in Harvard Style

Son H., Byun S. and Lee S. (2019). Illegal Audio Copy Detection using Fundamental Frequency Map.In Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 1: SIGMAP, ISBN 978-989-758-378-0, pages 350-355. DOI: 10.5220/0008113403500355

in Bibtex Style

@conference{sigmap19,
author={Heui-su Son and Sung-woo Byun and Soek-Pil Lee},
title={Illegal Audio Copy Detection using Fundamental Frequency Map},
booktitle={Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 1: SIGMAP,},
year={2019},
pages={350-355},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008113403500355},
isbn={978-989-758-378-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 1: SIGMAP,
TI - Illegal Audio Copy Detection using Fundamental Frequency Map
SN - 978-989-758-378-0
AU - Son H.
AU - Byun S.
AU - Lee S.
PY - 2019
SP - 350
EP - 355
DO - 10.5220/0008113403500355