Long Short-Term Memory Recurrent Neural Networks (LSTM-RNN) are one of the most
powerful dynamic classifiers publicly known. The network itself and the related learning …

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 …

Recurrent neural networks (RNNs) are capable of learning features and long term
dependencies from sequential and time-series data. The RNNs have a stack of non-linear …

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 …

Multimodal sentiment analysis is a develo** area of research, which involves the
identification of sentiments in videos. Current research considers utterances as independent …

Automatic affect recognition is a challenging task due to the various modalities emotions can
be expressed with. Applications can be found in many domains including multimedia …

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 …

Affect recognition is an important component towards the better interaction between human
and machines. Applications of emotion recognition in speech can be found in several areas …

Emotions are time varying affective phenomena that are elicited as a result of stimuli. Videos
and movies in particular are made to elicit emotions in their audiences. Detecting the …

While speech emotion recognition (SER) has been an active research field since the last
three decades, the techniques that deal with the natural environment have only emerged in …