More than a decade has passed since research on automatic recognition of emotion from
speech has become a new field of research in line with its 'big brothers' speech and speaker …

As the recognition of emotion from speech has matured to a degree where it becomes
applicable in real-life settings, it is time for a realistic view on obtainable performances. Most …

Paralinguistic analysis is increasingly turning into a mainstream topic in speech and
language processing. This article aims to provide a broad overview of the constantly …

Superimposition is a composition technique that has been applied successfully in many
areas of software development. Although superimposition is a general-purpose concept, it …

The present study elaborates on the exploitation of both linguistic and acoustic feature
modeling for anger classification. In terms of acoustic modeling we generate statistics from …

This paper proposes the use of neutral reference models to detect local emotional
prominence in the fundamental frequency. A novel approach based on functional data …

The affective state of people changes in the course of conversations and these changes are
expressed externally in a variety of channels, including facial expressions, voice, and …

The role of automatic emotion recognition from speech is growing continuously because of
the accepted importance of reacting to the emotional state of the user in human–computer …

In this work we develop and apply a class of hierarchical directed graphical models on the
task of recognizing affective categories from prosody in both acted and natural speech. A …

In Monitoring Adaptive Spoken Dialog Systems, authors Alexander Schmitt and Wolfgang
Minker investigate statistical approaches that allow for recognition of negative dialog …