Recognizing speech emotions is indeed a crucial aspect of human–computer interaction.
However, developing a model that can accurately process multiple languages is one of the …

At present, there are several communication tools employed to express human emotions.
Among the numerous modes of communication, speech is the most predominant one for …

By eliminating repetitive and irrelevant features, feature selection algorithms try to minimize
the number of features. Principal component analysis (PCA) is introduced as a feature …

Voice biometrics is a promising solution to online banking that doesn't need one's physical
presence, unlike fingerprint and retina scanners. Systems for identifying speakers are a …

Abstract Speech Emotion Recognition (SER) plays a predominant role in human-machine
interaction. SER is a challenging task because of number of complexities involved in it. For …

Dialect identification is the process of identifying the dialect from spoken form and this paper
focuses on identifying the four dialects of Punjabi language. For any speech processing …

This paper describes a Punjabi audio emotional dataset that was collected and developed
for the process of Speech Emotion Recognition (SER), specifically done for Punjabi …