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Atypical prosody, often reported in children with Autism Spectrum Disorders, is described by a range of qualitative terms that reflect the eccentricities and variability among persons in the spectrum. We investigate various wordand phonetic-level features from spontaneous speech that may quantify the cues reflecting prosody. Furthermore, we introduce the(More)
A method of rapid semi-automatic segmentation of real-time magnetic resonance image data for parametric analysis of vocal tract shaping is described. Tissue boundaries are identified by seeking pixel intensity thresholds along tract-normal gridlines. Airway contours are constrained with respect to a tract centerline defined as an optimal path over the graph(More)
Speaker state recognition is a challenging problem due to speaker and context variability. Intoxication detection is an important area of paralinguistic speech research with potential real-world applications. In this work, we build upon a base set of various static acoustic features by proposing the combination of several different methods for this learning(More)
This paper presents an automatic speaker state recognition approach which models the factor vectors in the latent factor analysis framework improving upon the Gaussian Mixture Model (GMM) baseline performance. We investigate both intoxicated and affective speaker states. We consider the affective speech signal as the original normal average speech signal(More)
Studies in classifying affect from vocal cues have produced exceptional within-corpus results, especially for arousal (activation or stress); yet cross-corpora affect recognition has only recently garnered attention. An essential requirement of many behavioral studies is affect scoring that generalizes across different social contexts and data conditions.(More)
We introduce the USC CARE Corpus, comprised of spontaneous and standardized child-psychologist interactions of children with a diagnosis of an autism spectrum disorder (ASD). The audio-video data is collected in the context of the Autism Diagnostic Observation Schedule (ADOS), which is a tool used by psychologists for a research-level diagnosis of ASD for(More)
Segmental and suprasegmental speech signal modulations offer information about paralinguistic content such as affect, age and gender, pathology, and speaker state. Speaker state encompasses medium-term, temporary physiological phenomena influenced by internal or external biochemical actions (e.g., sleepiness, alcohol intoxication). Perceptual and(More)
In this work we analyze the expressive manifestation of a child’s engagement behavior on his speech as well as in the speech of psychologist interacting with the child. Visual cues such as facial gestures and gaze are known to be informative of engagement, but here, we examine the less studied speech cues of the children’s non-verbal vocalizations. We study(More)