Speech emotion recognition is one of the latest challenges in speech processing. Besides human facial expressions speech has proven as one of the most promising modalities for the automatic recognition of human emotions.

We have developed a fast and optimized algorithm for speech emotion recognition based on Neural Networks. We have tested code on Polish Emotional Speech. Database of Polish Emotional Speech comprises 240 recordings from 8 actors (4 females and 4 males). Recordings for every speaker were made during a single session. Each spe ....etc

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An emotion recognition system on the basis of physiological signals is presented in this paper. electroencephalographic signals of the brain (EEG) and peripheral physiological signals is passe through a multimodal fusion process. three specific areas of valance-arousal emotional space is used. The acquisition protocol used here is based on a subset of pictures which correspond to this arousal emotional space. Preprocessing and feature extraction methods are so optimised so that emotion-specific characteristics can be extracted from input signa ....etc

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Speech Emotion Recognition for Affective Human Robot Interaction

Abstract
We evaluate the performance of a speech emotion recognition method for affective human-robot interaction. In the proposed method, emotion is classified into 6 classes: Angry, bored, happy, neutral, sad, and surprised. After applying noise reduction and speech detection, we obtain a feature vector for an utterance from statistics of phonetic and prosodic information. The phonetic information includes log energy, shimmer, formant frequencies, and Teager energy; the pro ....etc

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