Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers
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 …
extend this communication medium to computer applications. We define speech emotion …
Understanding LSTM--a tutorial into long short-term memory recurrent neural networks
RC Staudemeyer, ER Morris - arXiv preprint arXiv:1909.09586, 2019 - arxiv.org
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 …
powerful dynamic classifiers publicly known. The network itself and the related learning …
Recent advances in recurrent neural networks
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 …
dependencies from sequential and time-series data. The RNNs have a stack of non-linear …
Context-dependent sentiment analysis in user-generated videos
Multimodal sentiment analysis is a developing 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 …
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 …
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 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 …
End-to-end speech emotion recognition using deep neural networks
P Tzirakis, J Zhang, BW Schuller - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
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 …
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 …
A survey of speech emotion recognition in natural environment
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 …
three decades, the techniques that deal with the natural environment have only emerged in …