Despite advances in antimicrobial and anti-inflammatory therapies, inflammation and its
consequences still remain a significant problem in medicine. Acute inflammatory responses …

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 …

Speech is the most significant mode of communication among human beings and a potential
method for human-computer interaction (HCI) by using a microphone sensor. Quantifiable …

Speech is the most dominant source of communication among humans, and it is an efficient
way for human–computer interaction (HCI) to exchange information. Nowadays, speech …

Speech emotion recognition is a vital and challenging task that the feature extraction plays a
significant role in the SER performance. With the development of deep learning, we put our …

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 …

Receiving an accurate emotional response from robots has been a challenging task for
researchers for the past few years. With the advancements in technology, robots like service …

The classification of brain magnetic resonance imaging (MRI) images into normal and
abnormal classes, has great potential to reduce the radiologists workload. Statistical …

Inspite the emerging importance of Speech Emotion Recognition (SER), the state-of-the-art
accuracy is quite low and needs improvement to make commercial applications of SER …

Speech Emotion Recognition (SER) has several use cases for Digital Entertainment Content
(DEC) in Over-the-top (OTT) services, emotive Text-to-Speech (TTS) engines and voice …