Presentation 2013-07-18
Study on Speech Watermarking Based on Modifications to LSFs for Tampering Detection
Shengbei WANG, Masashi UNOKI,
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Abstract(in English) Digital watermarking for speech signals can effectively protect speech signals from malicious tampering. This paper proposes a tampering detection approach based on speech watermarking of modifications to line spectral frequencies (LSFs). Watermarks are embedded into LSFs that derived from linear prediction (LP) analysis with dither modulation-quantization index modulation (DM-QIM). We evaluated the proposed approach with inaudibility, robustness, and fragility. The results indicated that the proposed approach for tampering detection with minor modifications to LSFs not only enabled the watermarks to be inaudible but also achieved good balance between robustness against meaningful processing and fragility against tampering.
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Keyword(in English) speech watermarking / tampering detection / LSFs / DM-QIM / robustness / fragility
Paper # ISEC2013-32,SITE2013-27,ICSS2013-37,EMM2013-34
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Committee SITE
Conference Date 2013/7/11(1days)
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Registration To Social Implications of Technology and Information Ethics (SITE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Study on Speech Watermarking Based on Modifications to LSFs for Tampering Detection
Sub Title (in English)
Keyword(1) speech watermarking
Keyword(2) tampering detection
Keyword(3) LSFs
Keyword(4) DM-QIM
Keyword(5) robustness
Keyword(6) fragility
1st Author's Name Shengbei WANG
1st Author's Affiliation School of Information Science, Japan Advanced Institute of Science and Technology()
2nd Author's Name Masashi UNOKI
2nd Author's Affiliation School of Information Science, Japan Advanced Institute of Science and Technology
Date 2013-07-18
Paper # ISEC2013-32,SITE2013-27,ICSS2013-37,EMM2013-34
Volume (vol) vol.113
Number (no) 136
Page pp.pp.-
#Pages 6
Date of Issue