How and Why People Synchronize: An Integrated Perspective
EB daSilva, A Wood - Personality and Social Psychology …, 2024 - journals.sagepub.com
Academic Abstract Interpersonal synchrony, the alignment of behavior and/or physiology
during interactions, is a pervasive phenomenon observed in diverse social contexts. Here …
during interactions, is a pervasive phenomenon observed in diverse social contexts. Here …
Nonlinear speech analysis using models for chaotic systems
I Kokkinos, P Maragos - IEEE Transactions on Speech and …, 2005 - ieeexplore.ieee.org
In this paper, we use concepts and methods from chaotic systems to model and analyze
nonlinear dynamics in speech signals. The modeling is done not on the scalar speech …
nonlinear dynamics in speech signals. The modeling is done not on the scalar speech …
Applying multiple classifiers and non-linear dynamics features for detecting sleepiness from speech
Comparing different novel feature sets and classifiers for speech processing based fatigue
detection is the primary aim of this study. Thus, we conducted a within-subject partial sleep …
detection is the primary aim of this study. Thus, we conducted a within-subject partial sleep …
Analysis and classification of speech signals by generalized fractal dimension features
V Pitsikalis, P Maragos - Speech Communication, 2009 - Elsevier
We explore nonlinear signal processing methods inspired by dynamical systems and fractal
theory in order to analyze and characterize speech sounds. A speech signal is at first …
theory in order to analyze and characterize speech sounds. A speech signal is at first …
Application of Bayesian trained RBF networks to nonlinear time-series modeling
E Rank - Signal Processing, 2003 - Elsevier
We examine Bayesian learning of a regularization factor and the noise level of radial basis
function (RBF) networks in the framework of nonlinear time-series prediction and system …
function (RBF) networks in the framework of nonlinear time-series prediction and system …
Intrusion-tolerant enclaves
B Dutertre, V Crettaz, V Stavridou - Proceedings 2002 IEEE …, 2002 - ieeexplore.ieee.org
Despite our best efforts, any sufficiently complex computer system has vulnerabilities. It is
safe to assume that such vulnerabilities can be exploited by attackers who will be able to …
safe to assume that such vulnerabilities can be exploited by attackers who will be able to …
Spectral translation/folding in the subband domain
LG Liljeryd, P Ekstrand, F Henn, K Kjoerling - US Patent 9,245,534, 2016 - Google Patents
The present invention relates to a new method and apparatus for improvement of High
Frequency Reconstruction (HFR) techniques using frequency translation or folding or a …
Frequency Reconstruction (HFR) techniques using frequency translation or folding or a …
[PDF][PDF] Nonlinear analysis of speech signals: generalized dimensions and lyapunov exponents.
In this paper, we explore modern methods and algorithms from fractal/chaotic systems
theory for modeling speech signals in a multidimensional phase space and extracting …
theory for modeling speech signals in a multidimensional phase space and extracting …
Detecting fatigue from steering behaviour applying continuous wavelet transform
The aim of this paper is to develop signal processing based method to measure fatigue from
motor behaviour. The advantages of this steering wheel movement approach are that …
motor behaviour. The advantages of this steering wheel movement approach are that …
Some advances in nonlinear speech modeling using modulations, fractals, and chaos
P Maragos, AG Dimakis… - 2002 14th International …, 2002 - ieeexplore.ieee.org
We briefly summarize our on-going work on modeling nonlinear structures in speech
signals, caused by modulation and turbulence phenomena, using the theories of …
signals, caused by modulation and turbulence phenomena, using the theories of …