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Non-Linear Analyses of Speech and Prosody in Asperger's Syndrome

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Riccardo Fusaroli - Oplægsholder

In this paper, we quantify how the speech patterns of people with Asperger’s Syndrome (AS) differ from that of matched controls. To do so, we employed both traditional measures (pitch range and standard deviation, pause duration, and so on) and 2) non-linear techniques measuring the structure (regularity and complexity) of verbal, prosodic and fluency behaviour. Our aims were (1) to achieve a more fine-grained understanding of the speech patterns in AS than has previously been achieved using traditional, linear measures of prosody and fluency, and (2) to employ the results in a supervised machine-learning process (discriminant function) to classify speech production as either belonging to the control or the AS group, based solely on acoustic features.
2 maj 2013

Begivenhed (Konference)

TitelInternational Meeting For Autism Research
Forkortet titelIMFAR 2013
Dato01/05/201304/05/2013
BySan Sebastian
LandSpanien

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ID: 52891210