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Fake Voice Detection: A Comparative Analysis of Complex-Valued Deep Learning and Transformer Models across Multiple Languages

2026-02-03

Abstract excerpt

The rapid progress of modern text-to-speech (TTS) systems has led to synthetic voices that are increasingly indistinguishable from real human speech, raising serious concerns for security, audio forensics, and biometric authentication. As a result, automatic fake voice detection has become a relevant and challenging research problem. This work addresses the problem of distinguishing synthetically generated voices...

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Literature Corpus work
13c55e8d-5d3e-5791-9175-504095771a9d
DOI
10.20944/preprints202601.2360.v1
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Fake Voice Detection: A Comparative Analysis of Complex-Valued Deep Learning and Transformer Models across Multiple LanguagesDOI 10.20944/preprints202601.2360.v1
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