The Audio/Visual Emotion Challenge and Workshop (AVEC 2016)" Depression, Mood and
Emotion" will be the sixth competition event aimed at comparison of multimedia processing …

Video based facial expression recognition has been a long standing problem and attracted
growing attention recently. The key to a successful facial expression recognition system is to …

We present the first Audio-Visual+ Emotion recognition Challenge and workshop (AV+ EC
2015) aimed at comparison of multimedia processing and machine learning methods for …

A robot capable of understanding emotion expressions can increase its own capability of
solving problems by using emotion expressions as part of its own decision-making, in a …

Well-established benchmarks have been developed in the past 20 years for automatic facial
behaviour analysis. Nevertheless, for some important problems regarding analysis of facial …

This paper presents the techniques used in our contribution to Emotion Recognition in the
Wild 2016's video based sub-challenge. The purpose of the sub-challenge is to classify the …

Accessing large, manually annotated audio databases in an effort to create robust models
for emotion recognition is a notably difficult task, handicapped by the annotation cost and …

Well-established databases and benchmarks have been developed in the past 20 years for
automatic facial behaviour analysis. Nevertheless, for some important problems regarding …

We present a novel personalized voice activity detection (PVAD) learning method that does
not require enrollment data during training. PVAD is a task to detect the speech segments of …

Automatic diagnosis of Autism Spectrum Conditions (ASC) from the voice is still in its
infancy. The comparably few studies up to now focus mostly on the relevance of acoustic …