Emotional state recognition through speech is being a very interesting research topic nowadays. Using subliminal information of speech, it is possible to recognize the emotional state of the person. One of the main problems in the design of automatic emotion recognition systems is the small number of available patterns. This fact makes the learning process more difficult, due to the generalizat...

When people communicate, their states of mind are coupled with the explicit content of the messages being transmitted. The implicit information conveyed by mental states is essential to correctly understand and frame the communication messages. In mediation, professional mediators include empathy as a fundamental skill when dealing with the relational and emotional aspects of a case. In court e...

Language and emotion are two related systems in use, in that one system (emotions) impacts the performance of the other (language). Both of them share their functionality in communication. Since the nature of foreign language classrooms is ideally interactional, emotional intelligence (EI) gains importance. The aim of this study was to find out whether one's total emotional quotient and its com...

This paper presents a novel application of speech emotion recognition: estimation of the level of conversational engagement between users of a voice communication system. We begin by using machine learning techniques, such as the support vector machine (SVM), to classify users’ emotions as expressed in individual utterances. However, this alone fails to model the temporal and interactive aspect...

Emotional state recognition through speech is being a very interesting research topic nowadays. Using subliminal information of speech, denominated as “prosody”, it is possible to recognize the emotional state of the person. One of the main problems in the design of automatic emotion recognition systems is the small number of available patterns. This fact makes the learning process more difficu...

This paper describes a speech database built from 17 Slovenian radio dramas. The dramas were obtained from the national radio-and-television station (RTV Slovenia) and were given at the universities disposal with an academic license for processing and annotating the audio material. The utterances of one male and one female speaker were transcribed, segmented and then annotated with emotional st...

The acoustic characteristics of speech are influenced by speakers’ emotional status. In this study, we attempted to recognize the emotional status of individual speakers by using speech features that were extracted from short-time analysis frames as well as speech features that represented entire utterances. Principal component analysis was used to analyze the importance of individual features ...

In machine interaction with human being is yet challenging task that machine should be able to identify and react to human non-verbal communication such as emotions which makes the human computer interaction become more natural. In present research area automatic emotion recognition using speech is an essential task which paid close attention. Speech signal is a rich source of information and i...

Communication between humans deeply relies on our capability of experiencing, expressing, and recognizing feelings. For this reason, research on human-machine interaction needs to focus on the recognition and simulation of emotional states, prerequisite of which is the collection of affective corpora. Currently available datasets still represent a bottleneck because of the difficulties arising ...