6 accepted papers
Rats are gregarious rodents who naturally live in diverse social groups and communicate in part through ultrasonic vocalisations (USVs). USVs encode significant information about affective state and play an important role in social behaviour. Monitoring USVs is a non-invasive method of adding richne…
Dementia is associated with various cognitive impairments and typically manifests only after significant progression, making intervention at this stage often ineffective. To address this issue, the Prediction and Recognition of Cognitive Decline through Spontaneous Speech (PROCESS) Signal Processing…
This Signal Processing Grand Challenge (SPGC) targets a difficult automatic prediction problem of societal and medical relevance, namely, the detection of Alzheimer’s Dementia (AD). Participants were invited to employ signal processing and machine learning methods to create predictive models based o…
Attitudes play an important role in human communication. Models and algorithms for automatic recognition of attitudes therefore may have applications in areas where successful communication and interaction are crucial, such as health-care, education and digital entertainment. This paper focuses on t…
Spoken interaction with a machine results in a behaviour that is not very common in face-to-face human communication: <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Off-Talk</i> , which is defined as speech utterances that are not directed to an immediat…
This study focuses on prosodic and gestural features that contribute to the positive judgement of public oral presentations. The general hypothesis is that certain prosodic characteristics, such as high pitch variation and perceived loudness, together with the production of natural hand gestures, in…