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Blind Speech Watermarking Method with Frame Self-Synchronization Based on Spread-Spectrum Using Linear Prediction

Takuto Isoyama¹, Shunsuke Kidani¹, Masashi Unoki¹

¹School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa 923-1292, Japan.

Entropy (Basel, Switzerland)

|May 28, 2022

Summary

This study introduces a novel speech watermarking method, the LP-DSS scheme, enhancing security for audio communication. The new technique ensures inaudibility, robustness, blind-detectability, and confidentiality in watermarked speech signals.

Keywords:

blind detection frame synchronization linear prediction liner prediction residue speech watermarking spread spectrum

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Area of Science:

Digital Signal Processing
Information Security
Audio Engineering

Background:

Speech watermarking is crucial for secure communication, requiring inaudibility, robustness, blind-detectability, and confidentiality.
Previous non-blind methods based on Linear Prediction (LP) and Direct Spread Spectrum (DSS) addressed inaudibility and robustness but lacked blind-detectability and confidentiality.
Existing watermarking schemes face challenges in balancing these four essential requirements.

Purpose of the Study:

To develop an advanced speech watermarking scheme, termed LP-DSS, that resolves the limitations of previous methods.
To achieve all four essential requirements: inaudibility, robustness, blind-detectability, and confidentiality in speech signals.
To enhance secure speech communication through a more comprehensive watermarking solution.

Main Methods:

Developed the LP-DSS scheme incorporating blind detection with frame synchronization for blind-detectability.
Implemented two data embedding strategies (front-side and back-side) within the LP-DSS scheme to ensure confidentiality.
Conducted objective tests (PESQ, LSD, Bit-error-rate, frame synchronization accuracy) and robustness tests against various attacks.

Main Results:

The proposed LP-DSS scheme successfully achieved inaudibility and blind-detectability, verified by objective tests.
Evaluations of data embedding combinations confirmed the confidentiality of the watermarking process.
Extensive robustness tests demonstrated the method's resilience against diverse processing and attacks.

Conclusions:

The developed LP-DSS scheme provides an effective solution for inaudible, robust, blindly detectable, and confidential speech watermarking.
This advancement significantly improves the security and integrity of speech communication systems.
The LP-DSS scheme represents a state-of-the-art approach in digital speech protection.