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 …

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 …

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 …

The field of human–computer interaction greatly benefits from the significant role of speech
emotion recognition (SER), which finds applications across various domains. However …

Speech emotion recognition is a complicated and challenging task in the human-computer
interaction. Its performance depends on the relevance of the considered features in addition …