RansomListener: Ransom call sound investigation using LSTM and CNN Architectures

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Dettagli Bibliografici
Autori principali:	Rahman, Rafeed, Rahman, Mehfuz A, Hossain, Shahriar, Hossain, Sajid
Altri autori:	Milon, Md.Iqbal Hossain
Natura:	Tesi
Lingua:	en_US
Pubblicazione:	Brac University 2021
Soggetti:	Convolution AlexNET VGG16 LSTM Neural Network
Accesso online:	http://hdl.handle.net/10361/14804

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