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...

Emotion recognition from speech has emerged as an important research area in the recent past. The purpose of speech emotion recognition system is to automatically classify speaker's utterances into seven emotional states including anger, boredom, disgust, fear, happiness, sadness and neutral. The speech samples are from Berlin emotional database and the features extracted from these uttera...

Emotional speech recognition is an area of great interest for human-computer interaction. The system must be able to recognize the user’s emotion and perform the actions accordingly. It is essential to have a framework that includes various modules performing actions like speech to text conversion, feature extraction, feature selection and classification of those features to identify the emotio...

The report presents the process of planning, designing and the development of a database of spoken children’s speech whose native language is Bulgarian. The proposed model is designed for children between the age of 4 and 6 without speech disorders, and reflects their specific capabilities. At this age most children cannot read, there is no sustained concentration, they are emotional, etc. The ...

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...

In this paper, we present a database with emotional children’s speech in a human-robot scenario: the children were giving instructions to Sony’s pet robot dog AIBO, with AIBO showing both obedient and disobedient behaviour. In such a scenario, a specific type of partner-centered interaction can be observed. We aimed at finding prosodic correlates of children’s emotional speech and were interest...

Pitch and formant frequencies are important features in speech which are used to identify the emotional state of a person. The Pitch and Formants are first extracted from the speech signal and then their analysis is carried out to recognize 3 different emotional states of the person. The emotions considered are Neutral, Happy and Sad. The TTS-GU database has been used for the analysis. The Ceps...

We deal with the topic of segmenting emotion-related (emotional/affective) episodes into adequate units for analysis and automatic processing/classification—a topic that has not been addressed adequately so far. We concentrate on speech and illustrate promising approaches by using a database with children’s emotional speech. We argue in favour of the word as basic unit and map sequences of word...

Spontaneous co-speech gestures are an integral part of human communicative behavior. Little is known, however, about how they reflect a speaker’s emotional state. In this paper, we describe the setup of a novel body movement database. 32 participants were primed with emotions (happy, sad, neutral) by listening to selected music pieces and, subsequently, fulfilled a gesture-eliciting task. We pr...

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...