An Ensemble Method for Radicalization and Hate Speech Detection Online Empowered by Sentic Computing
Sign Up to like & getrecommendations! Published in 2022 at "Cognitive Computation"
DOI: 10.1007/s12559-021-09845-6
Abstract: The dramatic growth of the Web has motivated researchers to extract knowledge from enormous repositories and to exploit the knowledge in myriad applications. In this study, we focus on natural language processing (NLP) and, more… read more here.
Keywords: sentic computing; speech detection; radicalization hate; hate speech ... See more keywords
Is hate speech detection the solution the world wants?
Sign Up to like & getrecommendations! Published in 2023 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2209384120
Abstract: The machine learning (ML) research community has landed on automated hate speech detection as the vital tool in the mitigation of bad behavior online. However, it is not clear that this is a widely supported… read more here.
Keywords: speech; world; speech detection; detection solution ... See more keywords
Deep Learning Based Fusion Approach for Hate Speech Detection
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3009244
Abstract: In recent years, the increasing prevalence of hate speech in social media has been considered as a serious problem worldwide. Many governments and organizations have made significant investment in hate speech detection techniques, which have… read more here.
Keywords: hate; speech detection; classification; hate speech ... See more keywords
Advances in Machine Learning Algorithms for Hate Speech Detection in Social Media: A Review
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3089515
Abstract: The aim of this paper is to review machine learning (ML) algorithms and techniques for hate speech detection in social media (SM). Hate speech problem is normally model as a text classification task. In this… read more here.
Keywords: speech detection; machine learning; detection; hate speech ... See more keywords
HCovBi-Caps: Hate Speech Detection Using Convolutional and Bi-Directional Gated Recurrent Unit With Capsule Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3143799
Abstract: Adversaries and anti-social elements have exploited the rapid proliferation of computing technology and online social media in the form of novel security threats, such as fake profiles, hate speech, social bots, and rumors. The hate… read more here.
Keywords: performance; speech detection; hate speech; capsule ... See more keywords
Assessing the Impact of Contextual Information in Hate Speech Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2023.3258973
Abstract: Social networks and other digital media deal with huge amounts of user-generated contents where hate speech has become a problematic more and more relevant. A great effort has been made to develop automatic tools for… read more here.
Keywords: speech detection; information; hate speech; speech ... See more keywords
Towards End-to-End Synthetic Speech Detection
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3089437
Abstract: The constant Q transform (CQT) has been shown to be one of the most effective speech signal pre-transforms to facilitate synthetic speech detection, followed by either hand-crafted (subband) constant Q cepstral coefficient (CQCC) feature extraction… read more here.
Keywords: speech detection; synthetic speech; end end; speech ... See more keywords
Synthetic Speech Detection Based on Local Autoregression and Variance Statistics
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3183951
Abstract: With the development of speech synthesis technology, the existing synthetic speech detection (SSD) methods cannot generalize well for unknown synthesis algorithms. And thus, this kind of speech forensics task meets a great challenge and has… read more here.
Keywords: speech; speech detection; detection based; based local ... See more keywords
Audiovisual speech detection benefits: A comparison across psychophysical approaches
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the Acoustical Society of America"
DOI: 10.1121/1.5035946
Abstract: Visual speech reduces uncertainty as to when auditory speech will occur, thereby enhancing detection of speech in noise. These detection benefits reflect a low-level perceptual mechanism of AV speech enhancement that is independent of the… read more here.
Keywords: detection; speech; speech detection; detection benefits ... See more keywords
Comparing Clinically Applicable Behavioral and Electrophysiological Measures of Speech Detection, Discrimination, and Comprehension
Sign Up to like & getrecommendations! Published in 2022 at "Trends in Hearing"
DOI: 10.1177/23312165221139733
Abstract: Effective communication requires good speech perception abilities. Speech perception can be assessed with behavioral and electrophysiological methods. Relating these two types of measures to each other can provide a basis for new clinical tests. In… read more here.
Keywords: electrophysiological measures; detection discrimination; speech detection; behavioral electrophysiological ... See more keywords
Hate speech detection: Challenges and solutions
Sign Up to like & getrecommendations! Published in 2019 at "PLoS ONE"
DOI: 10.1371/journal.pone.0221152
Abstract: As online content continues to grow, so does the spread of hate speech. We identify and examine challenges faced by online automatic approaches for hate speech detection in text. Among these difficulties are subtleties in… read more here.
Keywords: speech detection; challenges solutions; hate speech; detection challenges ... See more keywords