Concept of Speaker Age Estimation Using Neural Networks to Reduce Child Grooming

Autor:	Renat Haluska, Monika Badovska, Matus Pleva
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	convolutional neural networks deep learning grooming detection human voice social networking (online) Electrical engineering. Electronics. Nuclear engineering TK1-9971
Zdroj:	Elektronika ir Elektrotechnika, Vol 30, Iss 4, Pp 61-67 (2024)
Druh dokumentu:	article
ISSN:	1392-1215 2029-5731
DOI:	10.5755/j02.eie.38279
Popis:	This paper focusses on using neural network models to predict the age of social media users based on their voice recordings. The objective is to identify potential risky interactions between minors and adults by comparing the declared and predicted age groups of the users. The paper addresses the selection and training of suitable models and evaluates their effectiveness in age prediction. The results are demonstrated in sample data, where performance metrics are analysed, and possible limitations of the method are identified. Finally, the implications of the results for the safety of minors on social networks are discussed, and suggestions for future research in this area are provided.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/20c456f1f7574418b98debfad46897cc Zobrazit plný text záznamu View record in DOAJ