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 …

More than a decade has passed since research on automatic recognition of emotion from
speech has become a new field of research in line with its 'big brothers' speech and speaker …

In emotion classification of speech signals, the popular features employed are statistics of
fundamental frequency, energy contour, duration of silence and voice quality. However, the …

The importance of automatically recognizing emotions from human speech has grown with
the increasing role of spoken language interfaces in human-computer interaction …

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 …

For emotion recognition, we selected pitch, log energy, formant, mel-band energies, and mel
frequency cepstral coefficients (MFCCs) as the base features, and added …

This paper presents algorithms that allow a robot to express its emotions by modulating the
intonation of its voice. They are very simple and efficiently provide life-like speech thanks to …

Machine-based emotional intelligence is a requirement for more natural interaction between
humans and computer interfaces and a basic level of accurate emotion perception is …

Computational representation of everyday emotional states is a challenging task and,
arguably, one of the most fundamental for affective computing. Standard practice in emotion …