Optimization of a Blind Speech Watermarking Technique against Amplitude Scaling
Joint Authors
Nematollahi, Mohammad Ali
Gamboa-Rosales, Hamurabi
Vorakulpipat, Chalee
Source
Security and Communication Networks
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-20
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper presents a gain invariant speech watermarking technique based on quantization of the Lp-norm.
In this scheme, first, the original speech signal is divided into different frames.
Second, each frame is divided into two vectors based on odd and even indices.
Third, quantization index modulation (QIM) is used to embed the watermark bits into the ratio of the Lp-norm between the odd and even indices.
Finally, the Lagrange optimization technique is applied to minimize the embedding distortion.
By applying a statistical analytical approach, the embedding distortion and error probability are estimated.
Experimental results not only confirm the accuracy of the driven statistical analytical approach but also prove the robustness of the proposed technique against common signal processing attacks.
American Psychological Association (APA)
Nematollahi, Mohammad Ali& Vorakulpipat, Chalee& Gamboa-Rosales, Hamurabi. 2017. Optimization of a Blind Speech Watermarking Technique against Amplitude Scaling. Security and Communication Networks،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1202991
Modern Language Association (MLA)
Nematollahi, Mohammad Ali…[et al.]. Optimization of a Blind Speech Watermarking Technique against Amplitude Scaling. Security and Communication Networks No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1202991
American Medical Association (AMA)
Nematollahi, Mohammad Ali& Vorakulpipat, Chalee& Gamboa-Rosales, Hamurabi. Optimization of a Blind Speech Watermarking Technique against Amplitude Scaling. Security and Communication Networks. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1202991
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202991