Understanding LSTM--a tutorial into long short-term memory recurrent neural networks
RC Staudemeyer, ER Morris - ar** area of research, which involves the
identification of sentiments in videos. Current research considers utterances as independent …
identification of sentiments in videos. Current research considers utterances as independent …
End-to-end multimodal emotion recognition using deep neural networks
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 …
be expressed with. Applications can be found in many domains including multimedia …
Speech emotion recognition: Two decades in a nutshell, benchmarks, and ongoing trends
BW Schuller - Communications of the ACM, 2018 - dl.acm.org
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 …
1 90 COMMUNICATIONS OF THE ACM | MAY 2018 | VOL. 61 | NO. 5 review articles ILL US …
Speech emotion classification using attention-based LSTM
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 …
computer interaction over the past decade. However, due to the lack of research on the …
Analysis of EEG signals and facial expressions for continuous emotion detection
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 …
and movies in particular are made to elicit emotions in their audiences. Detecting the …
Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge
More than a decade has passed since research on automatic recognition of emotion from
speech has become a new field of research in line with its 'big brothers' speech and speaker …
speech has become a new field of research in line with its 'big brothers' speech and speaker …
End-to-end speech emotion recognition using deep neural networks
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 …
and machines. Applications of emotion recognition in speech can be found in several areas …