Presentation 2006-02-21
Development of digital watermark for audio signals using neural network and statistic value
Daisuke Kyuma, Yoshiyasu Takefuji,
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Abstract(in English) We propose a new method to embed digital watermark into audio signals keeping qualities of original data, extraction of the digital watermark is enabled even when a part of data had extracted. This study mainly consist of two methods. One is embedding necessary data into audio signals and the other is making data -f.e. author's copyright- using embedded data. The former is converting frequency to arbitrary breadth, and embed by correlation based watermark. The latter, we use back propagation network.
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Keyword(in English) digital watermark / neural network / sound / correlation based watermark
Paper # ITS2005-82,IE2005-289
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Conference Information
Committee ITS
Conference Date 2006/2/14(1days)
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Registration To Intelligent Transport Systems Technology (ITS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Development of digital watermark for audio signals using neural network and statistic value
Sub Title (in English)
Keyword(1) digital watermark
Keyword(2) neural network
Keyword(3) sound
Keyword(4) correlation based watermark
1st Author's Name Daisuke Kyuma
1st Author's Affiliation Keio University, Graduate School of Media and Governance()
2nd Author's Name Yoshiyasu Takefuji
2nd Author's Affiliation Keio University, Environment Information
Date 2006-02-21
Paper # ITS2005-82,IE2005-289
Volume (vol) vol.105
Number (no) 609
Page pp.pp.-
#Pages 3
Date of Issue