loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Heui-su Son 1 ; Sung-woo Byun 1 and Soek-Pil Lee 2

Affiliations: 1 Department of Computer Science, Graduate School, SangMyung University, Seoul and South Korea ; 2 Department of Electronic Engineering, SangMyung University, Seoul and South Korea

Keyword(s): Illegal Use, Copy Detection, Audio Fingerprinting, Fundamental Frequency Map, Pearson’s Correlation Score.

Related Ontology Subjects/Areas/Topics: Design and Implementation of Signal Processing Systems ; Multimedia ; Multimedia Systems and Applications ; Telecommunications

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.144.238.20

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 - SIGMAP; ISBN 978-989-758-378-0; ISSN 2184-3236, SciTePress, pages 350-355. DOI: 10.5220/0008113403500355

@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 - SIGMAP},
year={2019},
pages={350-355},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008113403500355},
isbn={978-989-758-378-0},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - SIGMAP
TI - Illegal Audio Copy Detection using Fundamental Frequency Map
SN - 978-989-758-378-0
IS - 2184-3236
AU - Son, H.
AU - Byun, S.
AU - Lee, S.
PY - 2019
SP - 350
EP - 355
DO - 10.5220/0008113403500355
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic