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.

Bibliographische Detailangaben
Hauptverfasser:	Rahman, Rafeed, Rahman, Mehfuz A, Hossain, Shahriar, Hossain, Sajid
Weitere Verfasser:	Milon, Md.Iqbal Hossain
Format:	Abschlussarbeit
Sprache:	en_US
Veröffentlicht:	Brac University 2021
Schlagworte:	Convolution AlexNET VGG16 LSTM Neural Network
Online Zugang:	http://hdl.handle.net/10361/14804

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