Singular value decomposition (SVD) is a new and important transform technique in robust
digital watermarking due to its different properties from the traditional transforms such as …

Speaker identification is a widely used technique in several security systems. In remote
access systems, speaker utterances are recoded and communicated through a …

In this paper, a robust audio watermarking scheme based on singular value decomposition
(SVD) and differential evolution (DE) using dither modulation (DM) quantization algorithm is …

Recent studies have suggested various side-channel attacks for eavesdropping sound by
analyzing the side effects of sound waves on nearby objects (eg, a bag of chips and …

This paper presents an audio watermarking technique based on singular value
decomposition (SVD) and fractional Fourier transform (FRT). The basic idea of this …

Abstract The Speech Processing Lab at Temple University developed an objective speech
quality measure called the Modified Bark Spectral Distortion (MBSD). The MBSD uses …

This paper presents a new approach for audio watermarking using the Singular Value
Decomposition (SVD) mathematical technique. The proposed approach can be used for …

In recent times, the security of communication channels between healthcare entities in
Medical Internet of Things (MIoT) systems becomes a significant issue to facilitate and …

The singular value decomposition (SVD) mathematical technique is utilized, in this paper, for
audio watermarking in time and transform domains. Firstly, the audio signal in time or an …

In this paper, we introduce" Lamphone," an optical side-channel attack used to recover
sound from desk lamp light bulbs; such lamps are commonly used in home offices, which …