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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 …
Automatic recognition of emotions from speech: a review of the literature and recommendations for practical realisation
In this article we give guidelines on how to address the major technical challenges of
automatic emotion recognition from speech in human-computer interfaces, which include …
automatic emotion recognition from speech in human-computer interfaces, which include …
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 …
Speech emotion recognition using Fourier parameters
Recently, studies have been performed on harmony features for speech emotion
recognition. It is found in our study that the first-and second-order differences of harmony …
recognition. It is found in our study that the first-and second-order differences of harmony …
Better to be frustrated than bored: The incidence, persistence, and impact of learners' cognitive–affective states during interactions with three different computer-based …
We study the incidence (rate of occurrence), persistence (rate of reoccurrence immediately
after occurrence), and impact (effect on behavior) of students' cognitive–affective states …
after occurrence), and impact (effect on behavior) of students' cognitive–affective states …
Fear-type emotion recognition for future audio-based surveillance systems
This paper addresses the issue of automatic emotion recognition in speech. We focus on a
type of emotional manifestation which has been rarely studied in speech processing: fear …
type of emotional manifestation which has been rarely studied in speech processing: fear …
Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset
Human emotions unfold over time, and more affective computing research has to prioritize
capturing this crucial component of real-world affect. Modeling dynamic emotional stimuli …
capturing this crucial component of real-world affect. Modeling dynamic emotional stimuli …
Spoken emotion recognition using hierarchical classifiers
RESEARCH HIGHLIGHTS:▶ Characterization of emotions based on the acoustical and
prosodic features.▶ Emotional groups are founded in an unsupervised way (SOM) and …
prosodic features.▶ Emotional groups are founded in an unsupervised way (SOM) and …
Whodunnit–searching for the most important feature types signalling emotion-related user states in speech
In this article, we describe and interpret a set of acoustic and linguistic features that
characterise emotional/emotion-related user states–confined to the one database …
characterise emotional/emotion-related user states–confined to the one database …
A survey on automatic multimodal emotion recognition in the wild
Affective computing has been an active area of research for the past two decades. One of
the major component of affective computing is automatic emotion recognition. This chapter …
the major component of affective computing is automatic emotion recognition. This chapter …