A survey on databases for multimodal emotion recognition and an introduction to the VIRI (visible and InfraRed image) database
Multimodal human–computer interaction (HCI) systems pledge a more human–human-like
interaction between machines and humans. Their prowess in emanating an unambiguous …
interaction between machines and humans. Their prowess in emanating an unambiguous …
Learning with Hilbert–Schmidt independence criterion: A review and new perspectives
T Wang, X Dai, Y Liu - Knowledge-based systems, 2021 - Elsevier
Abstract The Hilbert–Schmidt independence criterion (HSIC) was originally designed to
measure the statistical dependence of the distribution-based Hilbert space embedding in …
measure the statistical dependence of the distribution-based Hilbert space embedding in …
Multi-view clustering by non-negative matrix factorization with co-orthogonal constraints
Non-negative matrix factorization (NMF) has attracted sustaining attention in multi-view
clustering, because of its ability of processing high-dimensional data. In order to learn the …
clustering, because of its ability of processing high-dimensional data. In order to learn the …
Multi-view low-rank dictionary learning for image classification
Recently, a multi-view dictionary learning (DL) technique has received much attention.
Although some multi-view DL methods have been presented, they suffer from the problem of …
Although some multi-view DL methods have been presented, they suffer from the problem of …
A comprehensive survey on the process, methods, evaluation, and challenges of feature selection
Feature selection is employed to reduce the feature dimensions and computational
complexity by eliminating irrelevant and redundant features. A vast amount of increasing …
complexity by eliminating irrelevant and redundant features. A vast amount of increasing …
Speech emotion recognition using discriminative dimension reduction by employing a modified quantum-behaved particle swarm optimization algorithm
F Daneshfar, SJ Kabudian - Multimedia Tools and Applications, 2020 - Springer
Abstract In recent years, Speech Emotion Recognition (SER) has received considerable
attention in affective computing field. In this paper, an improved system for SER is proposed …
attention in affective computing field. In this paper, an improved system for SER is proposed …
Multi-view speech emotion recognition via collective relation construction
Automatic emotion recognition from speech plays a fundamental role towards advanced
emotional intelligence in human-machine interaction systems. The discriminative knowledge …
emotional intelligence in human-machine interaction systems. The discriminative knowledge …
Transfer linear subspace learning for cross-corpus speech emotion recognition
P Song - IEEE transactions on affective computing, 2017 - ieeexplore.ieee.org
Speech emotion recognition has received an increasing interest in recent years, which is
often conducted on the assumption that speech utterances in training and testing datasets …
often conducted on the assumption that speech utterances in training and testing datasets …
Feature selection based transfer subspace learning for speech emotion recognition
Cross-corpus speech emotion recognition has recently received considerable attention due
to the widespread existence of various emotional speech. It takes one corpus as the training …
to the widespread existence of various emotional speech. It takes one corpus as the training …
Attention-based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses
Mood disorders, including unipolar depression (UD) and bipolar disorder (BD), have
become some of the commonest mental health disorders. The absence of diagnostic …
become some of the commonest mental health disorders. The absence of diagnostic …