Robust and imperceptible digital speech watermarking

Akanksha J. N.; Diya Dhiraj; Hemanth Reddy; Shikha Tripathi

doi:10.1117/12.2589645

20 January 2021 Robust and imperceptible digital speech watermarking

Akanksha J. N., Diya Dhiraj, Hemanth Reddy, Shikha Tripathi

Proceedings Volume 11719, Twelfth International Conference on Signal Processing Systems; 117190T (2021) https://doi.org/10.1117/12.2589645
Event: Twelfth International Conference on Signal Processing Systems, 2020, Shanghai, China

Abstract

The concept of Speech watermarking has risen to be an efficient and promising solution to safeguard speech signals in today’s world of swiftly advancing communication technologies. In this paper, Robust Principal Component Analysis (RPCA) and Formant Manipulation (FM) have been used to embed the watermark into the host speech signal. RPCA involves obtaining the sparse component of the speech signal for accurate embedding, extraction of the watermark and FM involves modifying the formants by exploiting the properties of Line Spectral Frequencies (LSFs). A non-blind watermark detection scheme has been proposed to detect the watermark which demonstrates better stability and accuracy. Results of performance evaluation reveal that the proposed technique is robust and the watermark embedded is imperceptible. Also, the robustness of the method is verified by testing against several speech processing attacks.

Citation Download Citation

Akanksha J. N., Diya Dhiraj, Hemanth Reddy, and Shikha Tripathi "Robust and imperceptible digital speech watermarking", Proc. SPIE 11719, Twelfth International Conference on Signal Processing Systems, 117190T (20 January 2021); https://doi.org/10.1117/12.2589645

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available