Detecting Deepfake: Audio, Video & Image using Deep Learning Technique
Nirav K. Shah
, Arpit B. Parekh
Deepfake, Deep synthetic, machine learning, artificial intelligence, deep learning, speech synthesis, synthetic voice.
Deepfake is a rapidly developing area of artificial intelligence technology that is widely used on social media. It involves superimposing one person's photos, sounds, and videos over those of another. The key components of Deepfake are machine learning (ML) and deep learning (DL), which can identify them and produce Deepfake audio, video, and images much more quickly and cheaply. The term "Deepfake" has bad connotations, although the technology is being used more frequently both individually and commercially. Politicians and celebrities are the main targets in an effort to harm their reputations. In this paper we are explore the techniques to detect Deepfake audio, video and images.
"Detecting Deepfake: Audio, Video & Image using Deep Learning Technique", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.a534-a539, February-2024, Available :https://tijer.org/TIJER/papers/TIJER2402067.pdf
Volume 11
Issue 2,
February-2024
Pages : a534-a539
Paper Reg. ID: TIJER_151290
Published Paper Id: TIJER2402067
Downloads: 000319
Research Area: Science and Technology
Country: BHAVNAGAR, GUJARAT, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
