Speaker identification through artificial intelligence techniques: A comprehensive review and research challenges
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 …
information, such as gender, accent, and other unique characteristics of a speaker. These …
ReDMark: Framework for residual diffusion watermarking based on deep networks
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 …
computer vision and image processing areas, applications of Convolutional Neural …
Text-independent speaker identification through feature fusion and deep neural network
Speaker identification refers to the process of recognizing human voice using artificial
intelligence techniques. Speaker identification technologies are widely applied in voice …
intelligence techniques. Speaker identification technologies are widely applied in voice …
An overview of digital speech watermarking
MA Nematollahi, SAR Al-Haddad - International Journal of Speech …, 2013 - Springer
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 …
video from any intentional or unintentional manipulation through transmission. In terms of …
[图书][B] Digital watermarking
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 …
watermarking books just concentrate on specific application of digital watermarking such as …
Bayesian estimation of generalized gamma mixture model based on variational em algorithm
In this paper, we propose a Bayesian inference method for the generalized Gamma mixture
model (GΓMM) based on variational expectation-maximization algorithm. Specifically, the …
model (GΓMM) based on variational expectation-maximization algorithm. Specifically, the …
JSNet: a simulation network of JPEG lossy compression and restoration for robust image watermarking against JPEG attack
Deep learning-based watermarking methods have achieved a better performance in
capacity and invisibility than some traditional methods. However, their robustness against …
capacity and invisibility than some traditional methods. However, their robustness against …
A compact neural network-based algorithm for robust image watermarking
HB Xu, R Wang, J Wei, SP Lu - arXiv preprint arXiv:2112.13491, 2021 - arxiv.org
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 …
access, where the message is embedded into the digital image and extracted from it, even …
[HTML][HTML] Blind digital speech watermarking based on Eigen-value quantization in DWT
MA Nematollahi, SAR Al-Haddad… - Journal of King Saud …, 2015 - Elsevier
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 …
value quantization in Discrete Wavelet Transform. Initially, each frame of the digital speech …
Multimodal fusion for indoor sound source localization
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 …
single microphone, it is a challenging problem to machine learning. To address these …