Speech emotion recognition (SER) as a Machine Learning (ML) problem continues to
garner a significant amount of research interest, especially in the affective computing …

Emotions are an integral part of human interactions and are significant factors in determining
user satisfaction or customer opinion. speech emotion recognition (SER) modules also play …

Speech emotion recognition is one of the challenging research issues in the knowledge-
based system and various methods have been recommended to reach high classification …

Meticulous learning of human emotions through speech is an indispensable function of
modern speech emotion recognition (SER) models. Consequently, deriving and interpreting …

The advancement of Human-Robot Interaction (HRI) drives research into the development of
advanced emotion identification architectures that fathom audio-visual (AV) modalities of …

Speech emotion recognition (SER) has recently been receiving increased interest due to the
rapid advancements in affective computing and human computer interaction. English …

Respiration is an essential and primary mechanism for speech production. We first inhale
and then produce speech while exhaling. When we run out of breath, we stop speaking and …

Among the other modes of communication, such as text, body language, facial expressions,
and so on, human beings employ speech as the most common. It contains a great deal of …

Abstract Speech Emotion Recognition (SER) is the process of recognizing emotions by
extracting few features of speech signals. It is becoming very popular in Human Computer …

The future weather data source will continue to grow rapidly, and new developments in
machine learning would allow government agencies and companies to use all this data …