This paper is the first review into the automatic analysis of speech for use as an objective
predictor of depression and suicidality. Both conditions are major public health concerns; …

Background and objective Speech impairment is an early symptom of Parkinson's disease
(PD). This study has summarized the literature related to speech and voice in detecting PD …

Large-scale automatic speech translation systems today lack key features that help machine-
mediated communication feel seamless when compared to human-to-human dialogue. In …

In this paper, we first provide a review of the state-of-the-art emotional voice conversion
research, and the existing emotional speech databases. We then motivate the development …

We introduce dGSLM, the first “textless” model able to generate audio samples of naturalistic
spoken dialogues. It uses recent work on unsupervised spoken unit discovery coupled with …

Abstract The INTERSPEECH 2013 Computational Paralinguistics Challenge provides for
the first time a unified test-bed for Social Signals such as laughter in speech. It further …

Teaching and Researching Listening provides a focused, state-of-the-art treatment of the
linguistic, psycholinguistic and pragmatic processes that are involved in oral language use …

Future smart classrooms that we envision will significantly enhance learning experience and
seamless communication among students and teachers using real-time sensing and …

Depression is a common, but serious mental disorder that affects people all over the world.
Besides providing an easier way of diagnosing the disorder, a computer-aided automatic …

The expression and experience of human behavior are complex and multimodal and
characterized by individual and contextual heterogeneity and variability. Speech and …