Speech is the most natural way of expressing ourselves as humans. It is only natural then to
extend this communication medium to computer applications. We define speech emotion …

The advancements in neural networks and the on-demand need for accurate and near real-
time Speech Emotion Recognition (SER) in human–computer interactions make it …

Automatic speech emotion recognition has been a research hotspot in the field of human-
computer interaction over the past decade. However, due to the lack of research on the …

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 …

This paper presents a speech emotion recognition system using a recurrent neural network
(RNN) model trained by an efficient learning algorithm. The proposed system takes into …

Speaker emotion recognition is achieved through processing methods that include isolation
of the speech signal and extraction of selected features for the final classification. In terms of …

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 …

Speech emotion recognition is a challenging problem because human convey emotions in
subtle and complex ways. For emotion recognition on human speech, one can either extract …

We introduce speech emotion recognition by use of continuous hidden Markov models. Two
methods are propagated and compared. In the first method, a global statistics framework of …

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 …