Litcius/Paper detail

Deepfakes Audio Detection Techniques Using Deep Convolutional Neural Network

Basant Kumar, Shatha Rashad Alraisi

20222022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON)16 citationsDOI

Abstract

This article will introduce and discuss a new tool for detecting AI-generated audio deepfake. The convolutional neural network (CNN), is a kind of black box to detect acoustic objects, is used to build the technique in deep learning. The proposed models could be used as trustable standard networks for audial categorization. XCeption is an abbreviation for “extreme inception,” It takes the principles of Inception to their logical conclusion. It is the deep convolutional neural network architecture composed of Depth Wise Separable Convolutions, which CNN employs for audio detection. To streamline the overall system and produce real-time results

Topics & Concepts

Convolutional neural networkComputer scienceCategorizationDeep learningArtificial intelligenceBlack boxDeep neural networksConvolution (computer science)Pattern recognition (psychology)Artificial neural networkSpeech recognitionDigital Media Forensic DetectionMusic and Audio ProcessingGenerative Adversarial Networks and Image Synthesis