Speaker identification security improvement by means of speech watermarking

Authors:
Marcos Faundez-Zanuy;Martin Hagmüller;Gernot Kubin
Affiliations:
Escola Universitíria Politècnica de Mataró, Spain;Graz University of Technology, Austria;Graz University of Technology, Austria
Venue:
Pattern Recognition
Year:
2007

Citing 6
Cited 7

Techniques for data hiding

IBM Systems Journal
AHUMADA: A large speech corpus in Spanish for speaker characterization and identification

Speech Communication - Speaker recognition and its commercial and forensic applications
Discrete Time Processing of Speech Signals

Discrete Time Processing of Speech Signals
Speaker verification security improvement by means of speech watermarking

Speech Communication
Spread spectrum signaling for speech watermarking

ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Exploring Steganography: Seeing the Unseen

Computer

Tampering with a watermarking-based image authentication scheme

Pattern Recognition
Multimodal biometric image watermarking using two-stage integrity verification

Signal Processing
A performance driven methodology for cancelable face templates generation

Pattern Recognition
Digital watermarking: new speech and image applications

NOLISP'09 Proceedings of the 2009 international conference on Advances in Nonlinear Speech Processing
Editorial: An overview of information fusion in the domain of watermarking and document security

Information Fusion
Speech authentication by semi-fragile speech watermarking utilizing analysis by synthesis and spectral distortion optimization

Multimedia Tools and Applications
An overview of digital speech watermarking

International Journal of Speech Technology

Quantified Score

Hi-index	0.01

Visualization

Abstract

This paper presents a security enhanced speaker identification system based on speech signal watermarking. Our proposed system can detect several situations where a playback speech, a synthetically generated speech, or a hacker trying to imitate the speech is fooling the biometric system. It is also suitable for forensic experts, who sometimes have to demonstrate in front of a court that a digital recording has neither been manipulated nor edited. In addition, we demonstrate that this watermark can coexist simultaneously with biometric speaker identification based on Gaussian mixture models (GMM), minimizing the mutual effects.