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| Presentation | 2023-01-26 13:35 Audio zero-watermarking method based on auditory spectral representation Atsuki Ichikawa, Masashi Unoki (JAIST)  EMM2022-65 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Audio zero-watermark technique creates a detection key from watermark and binary pattern generated from features of the audio signal instead of embedding watermark directly into the signal. This technique apparently embeds the watermark into the signal and uses this key to detect the watermark from the audio signal. However, this technique has the problem of incorrectly detecting the watermark when the audio signal is subjected to sound information processing such as information compression and speech coding. To solve this problem, this paper proposes an audio zero-watermarking method using auditory spectral representation (Spikegram) obtained by sparse coding. The proposed method generates a binary pattern from Spikegram to create a detection key, focusing on the fact that Spikegram, which indicates the timing, place, and intensity of the audio signal. Robustness tests are carried out to verify the effectiveness of the proposed method. The results showed that the proposed method is highly robust against various types of sound information processing, including information compression and speech coding. It was also showed that the proposed method can be used as robust audio zero watermarking. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | audio zero-watermarking / auditory spectral representation / sparse coding / spikegram / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 368, EMM2022-65, pp. 20-25, Jan. 2023. | |
| Paper # | EMM2022-65 | |
| Date of Issue | 2023-01-19 (EMM) | |
| ISSN | 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 | EMM2022-65 |
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| Conference Information | |
| Committee | EMM |
| Conference Date | 2023-01-26 - 2023-01-26 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tohoku Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Sense of Presence, Universal Media, Digital Entertainment, etc. |
| Paper Information | |
| Registration To | EMM |
| Conference Code | 2023-01-EMM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Audio zero-watermarking method based on auditory spectral representation |
| Sub Title (in English) | |
| Keyword(1) | audio zero-watermarking |
| Keyword(2) | auditory spectral representation |
| Keyword(3) | sparse coding |
| Keyword(4) | spikegram |
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| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Atsuki Ichikawa |
| 1st Author's Affiliation | Japan Advanced Institute of Science and Technology (JAIST) |
| 2nd Author's Name | Masashi Unoki |
| 2nd Author's Affiliation | Japan Advanced Institute of Science and Technology (JAIST) |
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| Speaker | Author-1 |
| Date Time | 2023-01-26 13:35:00 |
| Presentation Time | 25 minutes |
| Registration for | EMM |
| Paper # | EMM2022-65 |
| Volume (vol) | vol.122 |
| Number (no) | no.368 |
| Page | pp.20-25 |
| #Pages | 6 |
| Date of Issue | 2023-01-19 (EMM) |
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