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

Yasunari Yoshitomi; Shohei Tani; Masaki Arasuna; Ryota Kan; Taro Asada; Masayoshi Tabuse

doi:10.2991/jrnal.k.190828.013

<Previous Article In Issue

Next Article In Issue>

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: 10.2991/jrnal.k.190828.013 How 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.
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/).

Download article (PDF)
View full text (HTML)

<Previous Article In Issue

Next Article In Issue>

Journal: Journal of Robotics, Networking and Artificial Life
Volume-Issue: 6 - 2
Pages: 133 - 137
Publication Date: 2019/09/27
ISSN (Online): 2352-6386
ISSN (Print): 2405-9021
DOI: 10.2991/jrnal.k.190828.013 How to use a DOI?
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

ris enw bib

TY  - JOUR
AU  - Yasunari Yoshitomi
AU  - Shohei Tani
AU  - Masaki Arasuna
AU  - Ryota Kan
AU  - Taro Asada
AU  - Masayoshi Tabuse
PY  - 2019
DA  - 2019/09/27
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  - 10.2991/jrnal.k.190828.013
ID  - Yoshitomi2019
ER  -

download .riscopy to clipboard