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• W2979846675 abstract "There are many ways to build a person identification system and those systems can be used for authentication and security. The latest phones for example, bring fingerprint readers to enhance the user experience. From our perspective on Neural Networkswe determine that Machine Learning is enough to guarantee someone’s identity without the need of any specific sensors other than a camera and a microphone. It is achievable with pictures of their face, sounds of their voice and Deep Learning. This work presents a study to build an application to allow biometric authentication using only multimedia and Deep Learning." @default.
• W2979846675 created "2019-10-18" @default.
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• W2979846675 date "2019-10-29" @default.
• W2979846675 modified "2023-10-06" @default.
• W2979846675 title "Using Deep Learning to Recognize People by Face and Voice" @default.
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• W2979846675 doi "https://doi.org/10.5753/webmedia_estendido.2019.8143" @default.
• W2979846675 hasPublicationYear "2019" @default.
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