In this paper we discuss the recent evolution of spoken dialog systems in commercial deployments.
Yet based on a simple finite state machine design paradigm, dialog systems reached …

This paper presents results from a study examining emotional speech using acoustic
features and their use in automatic machine learning classification. In addition, we propose a …

Most research that explores the emotional state of users of spoken dialog systems does not
fully utilize the contextual nature that the dialog structure provides. This paper reports results …

Speech is a rich source of information, not only about what a speaker says, but also about
what the speaker’s attitude is toward the listener and toward the topic under discussion—as …

Traditional clinical trials in neurodegenerative disorders have utilized combinations of
examination-based outcomes, global assessments by investigators and participants, and scales …

What role does affect play in spoken tutorial systems and is it automatically detectable? We
investigated the classification of student certainness in a corpus collected for ITSPOKE, a …

We propose a cloud-based multimodal dialog platform for the remote assessment and
monitoring of Amyotrophic Lateral Sclerosis (ALS) at scale. This paper presents our vision, …

Purpose: We investigate the extent to which automated audiovisual metrics extracted during
an affect production task show statistically significant differences between a cohort of …

We present a unified multimodal dialog platform for the remote assessment and monitoring
of patients’ neurological and mental health. Tina, a virtual agent, guides participants through …

Prosody—suprasegmental characteristics of speech such as pitch, rhythm, and loudness—is
a rich source of information in spoken language and can tell a listener much about the …