In recent years, emotion recognition has become a research focus in the area of artificial
intelligence. Due to its irregular structure, EEG data can be analyzed by applying graphical …

Automatic emotion recognition from speech has matured close to the point where it reaches
broader commercial interest. One of the last major limiting factors is the ability to deal with …

Today, a large number of audio features exists in audio retrieval for different purposes, such
as automatic speech recognition, music information retrieval, audio segmentation, and …

A large number of deep learning classification methods for emotion recognition tasks based
on electroencephalogram (EEG) have achieved excellent performance, and it is implicitly …

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

This paper discusses an approach towards automatic recognition of emotion in speech
which is adopted into a system named voice driven emotion recognizer mobile phone …

This paper explore on emotion recognition from Marathi speech signals by using feature
extraction techniques and classifier to classify Marathi speech utterances according to their …

Automatic Emotion Recognition (AER) from speech is one of the most important sub
domains in affective computing. Recent technological advances have enabled human users …

In this paper analysis of emotion recognition from Marathi speech signals by exploring
several patterns for feature extraction techniques and classifiers to classify speech utterance …

Explicit communication addresses the use of distinct language or protocol to convey the
idea. Implicit communication helps to compensate many hidden meanings omitted from the …