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In this paper, we extend the recent definition of graph stationarity into a definition of local stationarity. Doing so, we present a metric to assess local stationarity using projections on localized atoms on the graph. Energy of these projections defines the local power spectrum of the signal. We use this local power spectrum to characterize local stationarity and identify sources of non-stationarity...
Measurements of two- and multi-particle angular correlations in pp collisions at s=5,7, and 13TeV are presented as a function of charged-particle multiplicity. The data, corresponding to integrated luminosities of 1.0pb−1 (5 TeV), 6.2pb−1 (7 TeV), and 0.7pb−1 (13 TeV), were collected using the CMS detector at the LHC. The second-order (v2) and third-order (v3) azimuthal anisotropy harmonics of unidentified...
The majority of computational work on emotion in music concentrates on developing machine learning methodologies to build new, more accurate prediction systems, and usually relies on generic acoustic features. Relatively less effort has been put to the development and analysis of features that are particularly suited for the task. The contribution of this paper is twofold. First, the paper proposes...
The co-variation degree between individuals in their physiological signals can reveal insights about the quality of their interaction as well as their personal characteristics. In an effort to capture the amount of synchrony between Electrodermal Activity (EDA) streams occurring in parallel during dyadic interactions, we propose Sparse EDA Synchrony Measure (SESM), an index derived from the joint...
Children with Autism Spectrum Disorder (ASD) are known to have difficulty in producing and perceiving emotional facial expressions. Their expressions are often perceived as atypical by adult observers. This paper focuses on data driven ways to analyze and quantify atypicality in facial expressions of children with ASD. Our objective is to uncover those characteristics of facial gestures that induce...
Behavioral synchrony, or entrainment, is a phenomenon of great interest to psychologists and a challenging construct to quantify. In this work we study the synchrony behavior of head motion in human dyadic interactions. We model head motion using Gaussian Mixture Model (GMM) of line spectral frequencies extracted from the motion vectors of the head. We quantify interlocutor head motion similarity...
X-ray photon correlation spectroscopy (XPCS) is a unique tool to study the dynamical properties in a wide range of materials over a wide spatial and temporal range. XPCS measures the correlated changes in the speckle pattern, produced when a coherent x-ray beam is scattered from a disordered sample, over a time series of area detector images. The technique rides on “Big Data” and relies heavily on...
Automatic literacy assessment is one promising application of speech and language processing research. In our previous work, we showed we could accurately predict children's overall ability to read a list of English words aloud, an integral component of early literacy assessment. In this paper, we improve upon our results by exploiting the fact that evaluators' level of agreement significantly varies,...
Behavioral entrainment is an important, naturally-occurring dynamic phenomenon in human interactions. In this paper, we carry out two quantitative analyses of the vocal entrainment phenomenon in the context of studying conflictual marital interactions. We investigate the role of vocal entrainment in reflecting different dimensions of couple-specific behaviors, such as withdrawal, that are commonly-used...
Conventional methods for rotation angle estimation are not very robust to variations in object shape or intensity. However in real object recognition scenarios like in underwater sonar images, the object seldom retains the same appearance in different test cases. Object representation using Zernike moments allows to capture these variabilities in a way that makes it robust in the context of rotation...
The problem of detecting overlapped speech in stereo recordings using close-talk microphones is important for a variety of applications including the identification of back-channels, interruptions etc. in a dyadic or multi-party interactions. For detecting overlapped speech, we propose a feature derived using the spectral similarity of two channels over a range of acoustic frames. During overlapped...
An articulatory gestural unit representation called ldquoarticulatory strokerdquo is introduced. It aims to capture the constriction formation and release of a speech articulator such as the tongue tip. In that regard, the articulatory stroke is an attempt at a practical realization of the abstract articulatory gestures central to Articulatory Phonology. In this study we focus on the articulatory...
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