INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
High-quality fake videos and audio generated by AI algorithms (the deep fakes) have started challenging the status of videos and audio as definitive evidence of events. These sounds and clippings, if used as evidence, could even become a threat to someone’s private life or even national security. In this project, we have developed a system that can accurately determine whether a given piece of evidence is real or artificially mutated using a Keras model with ConformerEncoder architecture as its backbone. The ASVspoof 2019 dataset has been used to perceive the accuracy of the model built.
"Audio Deepfake Detection using Spectrograms", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 8, page no.488 - 492, August-2023, Available :http://www.ijsdr.org/papers/IJSDR2308078.pdf
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Publication Details:
Published Paper ID: IJSDR2308078
Registration ID:206222
Published In: Volume 8 Issue 8, August-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.35856
Page No: 488 - 492
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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