Zobrazeno 1 - 10
of 1 314
pro vyhledávání: '"Speech Detection"'
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
Head movement plays a vital role in auditory processing by contributing to spatial awareness and the ability to identify and locate sound sources. Here we investigate head-orienting behaviors using a dual-task experimental paradigm to measure: (a) lo
Externí odkaz:
https://doaj.org/article/1e4df600dcd446609e56d1356635f5fd
Autor:
Muhammad Athoillah, Rani Kurnia Putri
Publikováno v:
Science, Engineering and Technology, Vol 4, Iss 2 (2024)
This paper presents a novel application of Support Vector Machines (SVM) in developing automated systems to detect hate speech on social media platforms, addressing a critical need for scalable solutions to enhance online safety and societal cohesion
Externí odkaz:
https://doaj.org/article/c49425a85b9c4dabac585876a005ae71
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-16 (2024)
Abstract Spoofed speeches are becoming a big threat to society due to advancements in artificial intelligence techniques. Therefore, there must be an automated spoofing detector that can be integrated into automatic speaker verification (ASV) systems
Externí odkaz:
https://doaj.org/article/a765588829b2424a80e3928d25e344e1
Autor:
Anuwat Chaiwongyen, Suradej Duangpummet, Jessada Karnjana, Waree Kongprawechnon, Masashi Unoki
Publikováno v:
IEEE Access, Vol 12, Pp 121958-121970 (2024)
There is a great concern regarding the misuse of deepfake speech technology to synthesize a real person’s voice. Therefore, developing speech-security systems capable of detecting deepfake speech remains paramount in safeguarding against such misus
Externí odkaz:
https://doaj.org/article/1e8c0e4c17cd40d796958453ad399b57
Autor:
Abida Kousar, Jameel Ahmad, Khalid Ijaz, Amr Yousef, Zaffar Ahmed Shaikh, Ikramullah Khosa, Durga Chavali, Mohd Anjum
Publikováno v:
IEEE Access, Vol 12, Pp 106631-106644 (2024)
The rapid advancement of computer technology and the widespread adoption of online social media platforms have inadvertently provided fertile ground for individuals with antisocial inclinations to thrive, ushering in a range of security concerns, inc
Externí odkaz:
https://doaj.org/article/41f3ac6d531b4af2b8994da308793e8c
Publikováno v:
IEEE Access, Vol 12, Pp 86252-86270 (2024)
Hate speech on online platforms, characterized by discriminatory language targeting individuals or groups, poses significant harm and necessitates robust detection methods for digital safety. Recognizing the ease with which individuals can engage in
Externí odkaz:
https://doaj.org/article/460e116ef73242b3b8ec101babcf4557
Publikováno v:
IEEE Access, Vol 12, Pp 59474-59484 (2024)
Cyberbullying is a social media network issue, a global crisis affecting the victims and society. Automatically identifying cyberbullying on social media has become extremely hard because of the complicated nature and intricate language employed with
Externí odkaz:
https://doaj.org/article/7d17f1dc92c548b98152463a033c0688
Publikováno v:
IEEE Access, Vol 12, Pp 27225-27236 (2024)
In the era of digital communication, social media platforms have experienced exponential growth, becoming primary channels for information exchange. However, this surge has also amplified the rapid spread of hate speech, prompting extensive research
Externí odkaz:
https://doaj.org/article/4b1cbb264f1940288aa40d82ca3d6b72
Autor:
Beatriz Botella-Gil, Robiert Sepulveda-Torres, Alba Bonet-Jover, Patricio Martinez-Barco, Estela Saquete
Publikováno v:
IEEE Access, Vol 12, Pp 19651-19664 (2024)
Annotated corpora are indispensable tools to train computational models in Artificial Intelligence and Natural Language Processing. However, manual annotation is a costly, arduous, and time-consuming task, especially when the annotation is semantical
Externí odkaz:
https://doaj.org/article/2cbd2265da7a440cbc1f6d40a4a7e136
Publikováno v:
IEEE Access, Vol 12, Pp 13773-13782 (2024)
Hate Speech Detection, aims to identify the widespread presence of harmful speech on social networks, is a long-standing research field. Despite its significance, previous efforts almost focused on English, leading to a notable scarcity of datasets f
Externí odkaz:
https://doaj.org/article/66bffef77113450f8abc32e5f6c47caf