Audio watermarking: a way to stationnarize audio signals
Audio watermarking is usually used as a multimedia copyright protection tool or as a system that embed metadata in audio signals. In this paper, watermarking is viewed as a preprocessing step for further audio processing systems: the watermark signal conveys no information, rather it is used to modi...
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| Veröffentlicht in: | IEEE transactions on signal processing 2005-02, Vol.53 (2), p.816-823 |
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| container_title | IEEE transactions on signal processing |
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| creator | Larbi, S.D. Jaidane-Saidane, M. |
| description | Audio watermarking is usually used as a multimedia copyright protection tool or as a system that embed metadata in audio signals. In this paper, watermarking is viewed as a preprocessing step for further audio processing systems: the watermark signal conveys no information, rather it is used to modify the statistical characteristics of an audio signal, in particular its nonstationarity. The embedded watermark is then added in order to stationnarize the host signal. Indeed, the embedded watermark is piecewise stationary, thus it modifies the stationarity of the original audio signal. In some audio processing fields, this fact can be used to improve performances that are very sensitive to time-variant signal statistics. This work presents an analysis of the perceptual watermarking impact on the stationarity of audio signals. The study is based on stationarity indices, which represent a measure of variations in spectral characteristics of signals, using time-frequency representations. Simulation results with two kinds of signals, artificial signals and audio signals (speech and music), are presented. Stationarity indices comparison between watermarked and original audio signals shows a significant stationarity enhancement of the watermarked signal, especially for transient attacks. |
| doi_str_mv | 10.1109/TSP.2004.839899 |
| format | Article |
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In this paper, watermarking is viewed as a preprocessing step for further audio processing systems: the watermark signal conveys no information, rather it is used to modify the statistical characteristics of an audio signal, in particular its nonstationarity. The embedded watermark is then added in order to stationnarize the host signal. Indeed, the embedded watermark is piecewise stationary, thus it modifies the stationarity of the original audio signal. In some audio processing fields, this fact can be used to improve performances that are very sensitive to time-variant signal statistics. This work presents an analysis of the perceptual watermarking impact on the stationarity of audio signals. The study is based on stationarity indices, which represent a measure of variations in spectral characteristics of signals, using time-frequency representations. Simulation results with two kinds of signals, artificial signals and audio signals (speech and music), are presented. 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In this paper, watermarking is viewed as a preprocessing step for further audio processing systems: the watermark signal conveys no information, rather it is used to modify the statistical characteristics of an audio signal, in particular its nonstationarity. The embedded watermark is then added in order to stationnarize the host signal. Indeed, the embedded watermark is piecewise stationary, thus it modifies the stationarity of the original audio signal. In some audio processing fields, this fact can be used to improve performances that are very sensitive to time-variant signal statistics. This work presents an analysis of the perceptual watermarking impact on the stationarity of audio signals. The study is based on stationarity indices, which represent a measure of variations in spectral characteristics of signals, using time-frequency representations. Simulation results with two kinds of signals, artificial signals and audio signals (speech and music), are presented. Stationarity indices comparison between watermarked and original audio signals shows a significant stationarity enhancement of the watermarked signal, especially for transient attacks.</description><subject>Applied sciences</subject><subject>Engineering Sciences</subject><subject>Exact sciences and technology</subject><subject>Humans</subject><subject>Information, signal and communications theory</subject><subject>Miscellaneous</subject><subject>Multimedia systems</subject><subject>Noise reduction</subject><subject>Noise robustness</subject><subject>Perceptual audio watermarking</subject><subject>Signal analysis</subject><subject>Signal and Image processing</subject><subject>Signal processing</subject><subject>stationarity indices</subject><subject>Statistics</subject><subject>Telecommunications and information theory</subject><subject>Time domain analysis</subject><subject>Time frequency analysis</subject><subject>time-frequency representations</subject><subject>Watermarking</subject><issn>1053-587X</issn><issn>1941-0476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpFkD1PwzAQhi0EEqUwM7BkYWBIe_6MzVZVQJEqgUSR2KzDcYqhJFUcQOXX4xJEp7N9z3PyvYScUhhRCma8eLgfMQAx0txoY_bIgBpBcxCF2k9nkDyXung6JEcxvgJQIYwaED35KEOTfWHn23ds30K9vMww3TdZ12Sxwy40dY1t-PYZ_qIxLGtcxWNyUKXiT_7qkDxeXy2ms3x-d3M7ncxzx5XqckMFGlk45KrwTKJHYM4p7p2WqpJFQUtvnkvQDL2gWoISzJecpQ24VLrkQ3LRz33BlV23IX1yYxsMdjaZ2-0bMMlAKfikiR33rGubGFtf_QsU7DYkm0Ky25BsH1IyzntjjdHhqmqxdiHuNCWoSl7iznoueO93ba5poSn_AVkEbjY</recordid><startdate>20050201</startdate><enddate>20050201</enddate><creator>Larbi, S.D.</creator><creator>Jaidane-Saidane, M.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0003-3889-5981</orcidid></search><sort><creationdate>20050201</creationdate><title>Audio watermarking: a way to stationnarize audio signals</title><author>Larbi, S.D. ; Jaidane-Saidane, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c366t-914a957ca367e25aea02cc63ec856f5771de9bd082ae41850642ed328993568d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Applied sciences</topic><topic>Engineering Sciences</topic><topic>Exact sciences and technology</topic><topic>Humans</topic><topic>Information, signal and communications theory</topic><topic>Miscellaneous</topic><topic>Multimedia systems</topic><topic>Noise reduction</topic><topic>Noise robustness</topic><topic>Perceptual audio watermarking</topic><topic>Signal analysis</topic><topic>Signal and Image processing</topic><topic>Signal processing</topic><topic>stationarity indices</topic><topic>Statistics</topic><topic>Telecommunications and information theory</topic><topic>Time domain analysis</topic><topic>Time frequency analysis</topic><topic>time-frequency representations</topic><topic>Watermarking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Larbi, S.D.</creatorcontrib><creatorcontrib>Jaidane-Saidane, M.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>IEEE transactions on signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Larbi, S.D.</au><au>Jaidane-Saidane, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Audio watermarking: a way to stationnarize audio signals</atitle><jtitle>IEEE transactions on signal processing</jtitle><stitle>TSP</stitle><date>2005-02-01</date><risdate>2005</risdate><volume>53</volume><issue>2</issue><spage>816</spage><epage>823</epage><pages>816-823</pages><issn>1053-587X</issn><eissn>1941-0476</eissn><coden>ITPRED</coden><abstract>Audio watermarking is usually used as a multimedia copyright protection tool or as a system that embed metadata in audio signals. In this paper, watermarking is viewed as a preprocessing step for further audio processing systems: the watermark signal conveys no information, rather it is used to modify the statistical characteristics of an audio signal, in particular its nonstationarity. The embedded watermark is then added in order to stationnarize the host signal. Indeed, the embedded watermark is piecewise stationary, thus it modifies the stationarity of the original audio signal. In some audio processing fields, this fact can be used to improve performances that are very sensitive to time-variant signal statistics. This work presents an analysis of the perceptual watermarking impact on the stationarity of audio signals. The study is based on stationarity indices, which represent a measure of variations in spectral characteristics of signals, using time-frequency representations. Simulation results with two kinds of signals, artificial signals and audio signals (speech and music), are presented. Stationarity indices comparison between watermarked and original audio signals shows a significant stationarity enhancement of the watermarked signal, especially for transient attacks.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TSP.2004.839899</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-3889-5981</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | IEEE transactions on signal processing, 2005-02, Vol.53 (2), p.816-823 |
| issn | 1053-587X 1941-0476 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Applied sciences Engineering Sciences Exact sciences and technology Humans Information, signal and communications theory Miscellaneous Multimedia systems Noise reduction Noise robustness Perceptual audio watermarking Signal analysis Signal and Image processing Signal processing stationarity indices Statistics Telecommunications and information theory Time domain analysis Time frequency analysis time-frequency representations Watermarking |
| title | Audio watermarking: a way to stationnarize audio signals |
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