Design and Implementation of Fast Spoken Foul Language Recognition with Different End-to-End Deep Neural Network Architectures

Given the excessive foul language identified in audio and video files and the detrimental consequences to an individual’s character and behaviour, content censorship is crucial to filter profanities from young viewers with higher exposure to uncensored content. Although manual detection and censorsh...

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Detalles Bibliográficos
Autores principales: Ba Wazir, Abdulaziz Saleh, Karim, Hezerul Abdul, Abdullah, Mohd Haris Lye, AlDahoul, Nouar, Mansor, Sarina, Fauzi, Mohammad Faizal Ahmad, See, John, Naim, Ahmad Syazwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864503/
https://www.ncbi.nlm.nih.gov/pubmed/33494254
http://dx.doi.org/10.3390/s21030710

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864503/
https://www.ncbi.nlm.nih.gov/pubmed/33494254
http://dx.doi.org/10.3390/s21030710

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