Research on speech processing has traditionally considered the task of designing hand-
engineered acoustic features (feature engineering) as a separate distinct problem from the …

Abstract Internet of Things (IoT) systems have become an intrinsic technology in various
industries and government services. Unfortunately, IoT devices and networks are known to …

Traditionally, speech emotion recognition (SER) research has relied on manually
handcrafted acoustic features using feature engineering. However, the design of …

Emotion detection has become an intriguing issue for researchers owing to its
psychological, social, and commercial significance. People express their feelings directly or …

Depression is a serious and common psychological disorder that requires early diagnosis
and treatment. In severe episodes the condition may result in suicidal thoughts. Recently …

Recently, generative adversarial networks and adversarial autoencoders have gained a lot
of attention in machine learning community due to their exceptional performance in tasks …

An important part of the human-computer interaction process is speech emotion recognition
(SER), which has been receiving more attention in recent years. However, although a wide …

The scarcity of emotional speech data is a bottleneck of developing automatic speech
emotion recognition (ASER) systems. One way to alleviate this issue is to use unsupervised …

Whispered speech, as an alternative speaking style for normal phonated (non-whispered)
speech, has received little attention in speech emotion recognition. Currently, speech …

This study addresses a situation in practice where training and test samples come from
different corpora-here in acoustic emotion recognition. In this situation, a model is trained on …