We present the MSP-IMPROV corpus, a multimodal emotional database, where the goal is
to have control over lexical content and emotion while also promoting naturalness in the …

Thanks to the decreasing cost of whole-body sensing technology and its increasing
reliability, there is an increasing interest in, and understanding of, the role played by body …

With recent advances in machine-learning techniques for automatic speech analysis (ASA)-
the computerized extraction of information from speech signals-there is a greater need for …

Manual annotations and transcriptions have an ever-increasing importance in areas such as
behavioral signal processing, image processing, computer vision, and speech signal …

Virtual reality (VR) has increasingly been used in many areas, and the need to deliver
notifications in VR is also expected to increase accordingly. However, untimely interruptions …

Speech Emotion Recognition (SER) has been a challenging task on which researchers
have been working for decades. Recently, Deep Learning (DL) based approaches have …

We introduce iHEARu-PLAY, a web-based multi-player game for crowdsourced database
collection and—most important—labelling. Existing databases (with speech and video …

The speech emotion recognition system determines a speaker's emotional state by
analyzing his/her speech audio signal. It is an essential at the same time a challenging task …

Topic modelling is a text mining technique for identifying salient themes from a number of
documents. The output is commonly a set of topics consisting of isolated tokens that often co …

Crowdsourcing is an emergent trend for general-purpose classification problem solving.
Over the past decade, this notion has been embodied by enlisting a crowd of humans to …