Speech is a powerful medium of communication that always convey rich and useful
information, such as gender, accent, and other unique characteristics of a speaker. These …

Due to the rapid growth of machine learning tools and specifically deep networks in various
computer vision and image processing areas, applications of Convolutional Neural …

Speaker identification refers to the process of recognizing human voice using artificial
intelligence techniques. Speaker identification technologies are widely applied in voice …

Digital speech watermarking is a robust way to hide and thus secure data like audio and
video from any intentional or unintentional manipulation through transmission. In terms of …

Due to wide range of digital watermarking applications in digital world, available digital
watermarking books just concentrate on specific application of digital watermarking such as …

In this paper, we propose a Bayesian inference method for the generalized Gamma mixture
model (GΓMM) based on variational expectation-maximization algorithm. Specifically, the …

Deep learning-based watermarking methods have achieved a better performance in
capacity and invisibility than some traditional methods. However, their robustness against …

Digital image watermarking seeks to protect the digital media information from unauthorized
access, where the message is embedded into the digital image and extracted from it, even …

This paper presents a new blind digital speech watermarking technique based on Eigen-
value quantization in Discrete Wavelet Transform. Initially, each frame of the digital speech …

To identify the localization of indoor sound source, especially when attempted using only a
single microphone, it is a challenging problem to machine learning. To address these …