A multiple audio watermarking for database based on blind source separation

Xin Chun Cui; Jie He; Xiao Lin Qin

doi:10.3969/j.issn.0372-2112.2012.01.013

A multiple audio watermarking for database based on blind source separation

Xin Chun Cui
, Jie He
, Xiao Lin Qin

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

By introducing speech, a multiple audio watermarking algorithm for database based on blind source separation is presented. The watermarking, a mixture of the speech signals of multiple copyright owners is inserted into database. After multiple watermarking is extracted, the speech signals of copyright owners will be separated by blind source separation algorithm based on maximum signal noise ratio. The speeches are matched by speech recognition technology based on DWT algorithm in order to prove that speeches are owned by multiple copyright owners.

Original language	English
Pages (from-to)	78-83
Number of pages	6
Journal	Tien Tzu Hsueh Pao/Acta Electronica Sinica
Volume	40
Issue number	1
DOIs	https://doi.org/10.3969/j.issn.0372-2112.2012.01.013
State	Published - Jan 2012
Externally published	Yes

Keywords

Audio
Blind source separation
Copyright protection
Database watermark

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10.3969/j.issn.0372-2112.2012.01.013

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title = "A multiple audio watermarking for database based on blind source separation",

abstract = "By introducing speech, a multiple audio watermarking algorithm for database based on blind source separation is presented. The watermarking, a mixture of the speech signals of multiple copyright owners is inserted into database. After multiple watermarking is extracted, the speech signals of copyright owners will be separated by blind source separation algorithm based on maximum signal noise ratio. The speeches are matched by speech recognition technology based on DWT algorithm in order to prove that speeches are owned by multiple copyright owners.",

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year = "2012",

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AU - He, Jie

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N2 - By introducing speech, a multiple audio watermarking algorithm for database based on blind source separation is presented. The watermarking, a mixture of the speech signals of multiple copyright owners is inserted into database. After multiple watermarking is extracted, the speech signals of copyright owners will be separated by blind source separation algorithm based on maximum signal noise ratio. The speeches are matched by speech recognition technology based on DWT algorithm in order to prove that speeches are owned by multiple copyright owners.

AB - By introducing speech, a multiple audio watermarking algorithm for database based on blind source separation is presented. The watermarking, a mixture of the speech signals of multiple copyright owners is inserted into database. After multiple watermarking is extracted, the speech signals of copyright owners will be separated by blind source separation algorithm based on maximum signal noise ratio. The speeches are matched by speech recognition technology based on DWT algorithm in order to prove that speeches are owned by multiple copyright owners.

KW - Audio

KW - Blind source separation

KW - Copyright protection

KW - Database watermark

UR - https://www.scopus.com/pages/publications/84856549217

U2 - 10.3969/j.issn.0372-2112.2012.01.013

DO - 10.3969/j.issn.0372-2112.2012.01.013

M3 - 文章

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ER -

A multiple audio watermarking for database based on blind source separation

Abstract

Keywords

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