Speech emotion recognition using deep learning techniques: A review

RA Khalil, E Jones, MI Babar, T Jan, MH Zafar… - IEEE …, 2019 - ieeexplore.ieee.org
Emotion recognition from speech signals is an important but challenging component of
Human-Computer Interaction (HCI). In the literature of speech emotion recognition (SER) …

A review of affective computing: From unimodal analysis to multimodal fusion

S Poria, E Cambria, R Bajpai, A Hussain - Information fusion, 2017 - Elsevier
Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …

Deception detection from linguistic and physiological data streams using bimodal convolutional neural networks

P Li, M Abouelenien, R Mihalcea, Z Ding… - 2024 5th …, 2024 - ieeexplore.ieee.org
Deception detection is gaining increasing interest due to ethical and security concerns. This
paper explores the application of convolutional neural networks for the purpose of …

A survey on multimodal disinformation detection

F Alam, S Cresci, T Chakraborty, F Silvestri… - arXiv preprint arXiv …, 2021 - arxiv.org
Recent years have witnessed the proliferation of offensive content online such as fake news,
propaganda, misinformation, and disinformation. While initially this was mostly about textual …

MOMENTA: A multimodal framework for detecting harmful memes and their targets

S Pramanick, S Sharma, D Dimitrov, MS Akhtar… - arXiv preprint arXiv …, 2021 - arxiv.org
Internet memes have become powerful means to transmit political, psychological, and socio-
cultural ideas. Although memes are typically humorous, recent days have witnessed an …

Phishing environments, techniques, and countermeasures: A survey

A Aleroud, L Zhou - Computers & Security, 2017 - Elsevier
Phishing has become an increasing threat in online space, largely driven by the evolving
web, mobile, and social networking technologies. Previous phishing taxonomies have …

A survey of affect recognition methods: audio, visual and spontaneous expressions

Z Zeng, M Pantic, GI Roisman, TS Huang - Proceedings of the 9th …, 2007 - dl.acm.org
Automated analysis of human affective behavior has attracted increasing attention from
researchers in psychology, computer science, linguistics, neuroscience, and related …

Using linguistic cues for the automatic recognition of personality in conversation and text

F Mairesse, MA Walker, MR Mehl, RK Moore - Journal of artificial intelligence …, 2007 - jair.org
It is well known that utterances convey a great deal of information about the speaker in
addition to their semantic content. One such type of information consists of cues to the …

Deception detection using real-life trial data

V Pérez-Rosas, M Abouelenien, R Mihalcea… - Proceedings of the 2015 …, 2015 - dl.acm.org
Hearings of witnesses and defendants play a crucial role when reaching court trial
decisions. Given the high-stake nature of trial outcomes, implementing accurate and …

Are computers effective lie detectors? A meta-analysis of linguistic cues to deception

V Hauch, I Blandón-Gitlin, J Masip… - Personality and social …, 2015 - journals.sagepub.com
This meta-analysis investigates linguistic cues to deception and whether these cues can be
detected with computer programs. We integrated operational definitions for 79 cues from 44 …