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...

Numerous examinations are performed related to automatic emotion recognition and speech detection in the Laboratory of Speech Acoustics. This article reviews results achieved for automatic emotion recognition experiments on spontaneous speech databases on the base of the acoustical information only. Different acoustic parameters were compared for the acoustical preprocessing, and Support Vector...

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...

Emotion plays a significant role in cognitive psychology, behavioural sciences and humanoid robot design. The continuing improvements in speech recognition technology have led to many new and fascinating applications in human-computer interaction, context aware computing and computer mediated communication. A growing number of research studies in emotion recognition via an isolated short senten...

This paper explores several statistical pattern recognition techniques to classify utterances according to their emotional content. We have recorded a corpus containing emotional speech with over a 1000 utterances from different speakers. We present a new method of extracting prosodic features from speech, based on a smoothing spline approximation of the pitch contour. To make maximal use of th...

Robots that can recognize emotions can improve humans’ mental health by providing empathy and social communication. Emotion recognition by robots is challenging because unlike in human-computer environments, facial information is not always available. Instead, our method proposes using speech and gait analysis to recognize human emotion. Previous research suggests that the dynamics of emotional...