Speech is an effective medium to express emotions and attitude through language. Finding
the emotional content from a speech signal and identify the emotions from the speech …

Emotion recognition from speech has emerged as an important research area in the recent
past. In this regard, review of existing work on emotional speech processing is useful for …

Recently, increasing attention has been directed to the study of the emotional content of
speech signals, and hence, many systems have been proposed to identify the emotional …

In this paper we overview emotional speech recognition having in mind three goals. The first
goal is to provide an up-to-date record of the available emotional speech data collections …

Speech emotion recognition (SER) is a challenging task since it is unclear what kind of
features are able to reflect the characteristics of human emotion from speech. However …

Feature selection plays an important role to build a successful speech emotion recognition
system. In this paper, a feature selection approach which modifies the initial population …

In this article, we argue that a predictive processing framework (PP) may provide elements
for a proximate model of play in children and adults. We propose that play is a behavior in …

In this project, we aim to classify the speech taken as one of the four emotions namely,
sadness, anger, fear and happiness. The samples that have been taken to complete this …

Machine recognition of human emotional state is an important component for efficient
human-computer interaction. The majority of existing works address this problem by utilizing …

Emotion primitive descriptions are an important alternative to classical emotion categories
for describing a human's affective expressions. We build a multi-dimensional emotion space …