| Paper Abstract and Keywords |
| Presentation |
2019-07-24 12:10
Recording device identification based on audio distortion depending on system-on-chip Akira Nishimura (Tokyo Univ. Info. Sci.) ISEC2019-48 SITE2019-42 BioX2019-40 HWS2019-43 ICSS2019-46 EMM2019-51 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This study addresses device-specific distortion observed in recorded
audio, to identify a built-in system-on-a-chip (SoC) in a portable
device. A swept sinusoidal signal is emitted from a loudspeaker and
is recorded by the portable devices. The three types of distortion
was observed by spectral analysis of the recorded signals. They are
the folded components at frequencies symmetrical across 4 kHz and 8
kHz of the signal component, non-harmonic and non-subharmonic
distortion components whose frequencies are 4 kHz below and
multiples of 4 kHz above the signal frequency, and mixed
non-subharmonics and folded components in the low-frequency
region. They are also observed using the correlation matrix on
temporal amplitude variations among frequencies derived from the
recorded speech signals and their perceptually compressed signals.
The folded distortions may be caused by signal processing of an auto gain control. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
time frequency anallysis / correlation analysis / swept sinusoidal signal / speech signal / perceptual coding / authenticity / / |
| Reference Info. |
IEICE Tech. Rep., vol. 119, no. 145, EMM2019-51, pp. 311-316, July 2019. |
| Paper # |
EMM2019-51 |
| Date of Issue |
2019-07-16 (ISEC, SITE, BioX, HWS, ICSS, EMM) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
ISEC2019-48 SITE2019-42 BioX2019-40 HWS2019-43 ICSS2019-46 EMM2019-51 |
| Conference Information |
| Committee |
ISEC SITE ICSS EMM HWS BioX IPSJ-CSEC IPSJ-SPT |
| Conference Date |
2019-07-23 - 2019-07-24 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kochi University of Technology |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Security, etc. |
| Paper Information |
| Registration To |
EMM |
| Conference Code |
2019-07-ISEC-SITE-ICSS-EMM-HWS-BioX-CSEC-SPT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Recording device identification based on audio distortion depending on system-on-chip |
| Sub Title (in English) |
|
| Keyword(1) |
time frequency anallysis |
| Keyword(2) |
correlation analysis |
| Keyword(3) |
swept sinusoidal signal |
| Keyword(4) |
speech signal |
| Keyword(5) |
perceptual coding |
| Keyword(6) |
authenticity |
| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Akira Nishimura |
| 1st Author's Affiliation |
Tokyo University of Information Sciences (Tokyo Univ. Info. Sci.) |
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| Speaker |
Author-1 |
| Date Time |
2019-07-24 12:10:00 |
| Presentation Time |
25 minutes |
| Registration for |
EMM |
| Paper # |
ISEC2019-48, SITE2019-42, BioX2019-40, HWS2019-43, ICSS2019-46, EMM2019-51 |
| Volume (vol) |
vol.119 |
| Number (no) |
no.140(ISEC), no.141(SITE), no.142(BioX), no.143(HWS), no.144(ICSS), no.145(EMM) |
| Page |
pp.311-316 |
| #Pages |
6 |
| Date of Issue |
2019-07-16 (ISEC, SITE, BioX, HWS, ICSS, EMM) |