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Implementation of Google Home voice assistant
Matula, Vladimír ; Štůsek, Martin (referee) ; Zeman, Kryštof (advisor)
The main goal of this bachelor thesis was to investigate the smart devices field together with technologies linked to it. Further, it describes the implementation of Google Assistant to Raspberry Pi 3 and options of controlling it via the Dialogflow platform. The thesis provides hands-on experience and is structured into two parts. The first, theoretical section focuses on Internet of Things and Device to Device communication. It also describes currently available smart home assistants and their functionalities. The thesis also describes the Dialogflow platform together with it's functionalities and options of it's use. The practical part of this thesis describes implementation of the Google Assistant in Raspberry Pi 3, development and integration of application created for it and the creation of home weather station.
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Resilience of Biometric Authentication of Voice Assistants against Deepfakes
Šandor, Oskar ; Firc, Anton (referee) ; Malinka, Kamil (advisor)
S rozvojom technológie deepfake sa napodobňovanie hlasu cudzích ľudí stalo oveľa jednoduchším. Na napodobnenie hlasu osoby a prípadné oklamanie človeka alebo stroja už nie je potrebné mať profesionálneho imitátora. Útočníkom stačí niekoľko nahrávok hlasu osoby bez ohľadu na obsah, aby vytvorili klon hlasu za pomoci online nástrojov. V takom prípade dokáže útočník vytvoriť syntetické nahrávky s obsahom, ktorý daná osoba možno nikdy nepovedala. Tieto nahrávky sa dajú zneužiť napríklad na neoprávnené používanie hlasových asistentov. Cieľom tejto práce je zistiť, či hlasoví asistenti dokážu rozpoznať tieto nahrávky. Vykonané experimenty ukazujú, že deepfakes vytvorené v priebehu niekoľkých minút dokážu obísť schopnosť hlasových asistentov rozpoznať hovoriaceho a môžu byť použité na uskutočnenie viacerých útokov.
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Implementation of Google Home voice assistant
Matula, Vladimír ; Štůsek, Martin (referee) ; Zeman, Kryštof (advisor)
The main goal of this bachelor thesis was to investigate the smart devices field together with technologies linked to it. Further, it describes the implementation of Google Assistant to Raspberry Pi 3 and options of controlling it via the Dialogflow platform. The thesis provides hands-on experience and is structured into two parts. The first, theoretical section focuses on Internet of Things and Device to Device communication. It also describes currently available smart home assistants and their functionalities. The thesis also describes the Dialogflow platform together with it's functionalities and options of it's use. The practical part of this thesis describes implementation of the Google Assistant in Raspberry Pi 3, development and integration of application created for it and the creation of home weather station.
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