Abstract In Machine Learning (ML), Feature Selection (FS) plays a crucial part in reducing
data's dimensionality and enhancing any proposed framework's performance. However, in …

The speech emotion recognition (SER) field has been active since it became a crucial
feature in advanced Human-Computer Interaction (HCI), and wide real-life applications use …

Automatic speech emotion recognition using machine learning is a demanding research
topic in the field of affective computing. Identifying the speech features for speech emotion …

Objectives With the COVID-19 outbreak around the globe and its potential effect on infected
patients' voice, this study set out to evaluate and compare the acoustic parameters of voice …

An accessible yet in-depth introductory textbook on the basic concepts of phonetics, fully
updated and revised This broad, interdisciplinary textbook investigates how speech can be …

Mild Cognitive Impairment (MCI) is a syndrome characterized by cognitive decline greater
than expected for an individual's age and education level. This study aims to determine …

Objective The purpose of our study was to investigate the impact of surgical mask on some
vocal parameters such as F0, vocal intensity, jitter, shimmer and harmonics-to-noise ratio in …

Due to the tremendous advancement in interactive multimedia systems and technologies,
security has become a major aspect. Advanced technology can be utilized for hacking …

Speech carries essential information about the speaker's physiology and possible
pathophysiological conditions. Bio-acoustic voice qualities show promising value for …

Speech processing plays a crucial role in many signal processing applications, while the
last decade has bought gigantic evolution based on machine learning prototype. Speech …