Journal of Robotics, Networking and Artificial Life

Volume 6, Issue 2, September 2019, Pages 133 - 137

An Authentication Method for Digital Audio using Wavelet Transform and Fundamental Frequencies

Authors
Yasunari Yoshitomi1, *, Shohei Tani2, Masaki Arasuna3, Ryota Kan4, Taro Asada1, Masayoshi Tabuse1
1Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, 1-5 Nakaragi-cho, Shimogamo, Sakyo-ku, Kyoto 606-8522, Japan
2Fukuchiyama City Hall, 13-1 Miki, Fukuchiyama, Kyoto Prefecture 620-8501, Japan
3Nissay Information Technology Co., Ltd., 5-37-1 Kamata, Ohta-ku, Tokyo 144-8721, Japan
4Shimazu Business Systems Co., Ltd., 1 Kuwahara-cho Nishinokyo, Nakagyo-ku, Kyoto 604-8442, Japan
*Corresponding author. Email: yoshitomi@kpu.ac.jp
Corresponding Author
Yasunari Yoshitomi
Received 18 October 2018, Accepted 5 December 2018, Available Online 27 September 2019.
DOI
https://doi.org/10.2991/jrnal.k.190828.013How to use a DOI?
Keywords
Authentication, audio, copyright protection, wavelet transform, fundamental frequency
Abstract

Several digital watermarking techniques for audio files have been proposed for hiding data for protecting their copyrights. There is a tradeoff between the quality of watermarked audio and the tolerance of watermarks to signal processing methods, such as compression. To overcome the inevitable tradeoff, we previously developed an authentication method for digital audio. We have improved the method by determining the region to be authenticated in the audio data by making effective use of the fundamental frequency characteristics.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
6 - 2
Pages
133 - 137
Publication Date
2019/09
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
https://doi.org/10.2991/jrnal.k.190828.013How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Yasunari Yoshitomi
AU  - Shohei Tani
AU  - Masaki Arasuna
AU  - Ryota Kan
AU  - Taro Asada
AU  - Masayoshi Tabuse
PY  - 2019
DA  - 2019/09
TI  - An Authentication Method for Digital Audio using Wavelet Transform and Fundamental Frequencies
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 133
EP  - 137
VL  - 6
IS  - 2
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.190828.013
DO  - https://doi.org/10.2991/jrnal.k.190828.013
ID  - Yoshitomi2019
ER  -