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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |