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

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 …

Speech Emotion Recognition (SER) is a hot topic in academia and industry. Feature
engineering plays a pivotal role in building an efficient SER. Although researchers have …

Interpreting a speech signal is quite challenging because it consists of different frequencies
and features that vary according to emotions. Although different algorithms are being …

Background Depression and anxiety are prevalent mental health concerns among children
and adolescents. The application of conventional assessment methods, such as survey …

In earlier days, people used speech as a means of communication or the way a listener is
conveyed by voice or expression. But the idea of machine learning and various methods are …

Abstract Speech Emotion Recognition (SER) has been widely used in many fields, such as
smart home assistants commonly found in the market. Smart home assistants that could …

Audio signal processing is the most challenging field in the current era for an analysis of an
audio signal. Audio signal classification (ASC) comprises of generating appropriate features …

Voices have been widely used for disease detection in the literature but these methods are
non-invasive. In this article a 1D local binary pattern (LBP) based feature extraction network …

Robust speech emotion recognition relies on the quality of the speech features. We present
speech features enhancement strategy that improves speech emotion recognition. We used …