Researchers examining nonverbal communication of emotions are becoming increasingly
interested in differentiations between different positive emotional states like interest, relief …

Affective Computing systems can detect the emotional state and mindset of an individual.
Speech Emotion Recognition (SER) is a unimodal affect computing system based on …

This article analyses research in speech emotion recognition (“SER”) from 2006 to 2017 in
order to identify the current focus of research, and areas in which research is lacking. The …

In this paper a mono-and multi-lingual study is presented about the depressed speech
detection possibilities. Beck Depression Inventory questionnaires were used for the …

Automatically determining speaker emotions in human speech is a frequently studied task,
where various techniques have been employed over the years. An efficient method is to …

The standard approach for handling computational paralinguistic speech tasks is to extract
several thousand utterance-level features from the speech excerpts, and use machine …

Opportunistic affect sensing offers unprecedented potential for capturing spontaneous affect
ubiquitously, obviating biases inherent in the laboratory setting. Facial expression and voice …

Emotional state identification is an important issue to achieve more natural speech
interactive systems. Ideally, these systems should also be able to work in real environments …

A recently introduced, effective feature extraction technique for computational paralinguistics
is that of Bag-of-Audio-Words (BoAW), where we cluster the frame-level training vectors, and …

Kivonat Az érzelmek felismerése a beszédtechnika egy jelenleg is aktívan kutatott területe. A
feladaton belül számos probléma fogalmazódott már meg; ezek egyike az egyes …