Speech is the most natural way of expressing ourselves as humans. It is only natural then to
extend this communication medium to computer applications. We define speech emotion …

Nowadays emotion recognition from speech (SER) is a demanding research area for
researchers because of its wide real-life applications. There are many challenges for SER …

The dependence on advanced information and communication technology increases the
vulnerability in smart grids under cyber-attacks. Recent research on unobservable false data …

Speech emotion recognition: two decades in a nutshell, benchmarks, and ongoing trends Page
1 90 COMMUNICATIONS OF THE ACM | MAY 2018 | VOL. 61 | NO. 5 review articles ILL US …

Automatic speech emotion recognition has been a research hotspot in the field of human-
computer interaction over the past decade. However, due to the lack of research on the …

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

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 …

As a subjectively psychological and physiological response to external stimuli, emotion is
ubiquitous in our daily life. With the continuous development of the artificial intelligence and …

In this paper, we propose a novel domain invariant feature learning (DIFL) method to deal
with speaker-independent speech emotion recognition (SER). The basic idea of DIFL is to …

Conversational emotion recognition is a crucial research topic in human-computer
interactions. Due to the heavy annotation cost and inevitable label ambiguity, collecting …