The demands for renewable energy generation are progressively expanding because of
environmental safety concerns. Renewable energy is power generated from sources that …

Speech emotion recognition (SER) plays a vital role in human–machine interaction. A large
number of SER schemes have been anticipated over the last decade. However, the …

Abstract Speech Emotion Recognition (SER), the extraction of emotional features with the
appropriate classification from speech signals, has recently received attention for its …

Emotions have a vital role in human communication in today's time, they help individuals
express their thoughts and understand the emotions of others better. Speech Emotion …

Speech emotion recognition (SER), which has gained greater attention in recent years, is a
key aspect of the human–computer interaction process. However, a wide range of strategies …

Speech emotion recognition (SER) is an important topic in human-computer interactions.
When the input data in training and testing sets comes from different corpora, there is a …

While speaker verification represents a critically important application of speaker
recognition, it is also the most challenging and least well-understood application. Robust …

A mutualism of nature-inspired algorithms, the Bald Eagle Search Algorithm (BESA) with the
Crow Search Algorithm (CSA), is proposed for Gaussian Mixture Model optimisation in the …

Human emotions are easy to identify through facial expressions, body movements, and
gestures. Speech carries a lot of emotional cues including variations in pitch, tone, intensity …

Emotion recognition systems from speech signals are realized with the help of acoustic or
spectral features. Acoustic analysis is the extraction of digital features from speech files …