Papers by Ewelina Bartuzi-Trokielewicz

2 papers
Voice synthesis in Polish and English - analyzing prediction differences in speaker verification systems (2025.coling-main)

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Challenge: Using audio deepfakes, we can create high quality false voice recordings convincing enough to deceive human ears and pose security concerns.
Approach: They examine the effects of deepfakes on speaker recognition systems across English and Polish corpora, evaluating both Text-to-Speech and Voice Conversion methods.
Outcome: The proposed methods can maintain personal traits, posing risks of unauthorized access, and can be used to deceive human ears.
Detecting deepfakes and false ads through analysis of text and social engineering techniques (2025.coling-main)

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Challenge: Existing deepfake detection algorithms focus on technical analysis of video and audio . authors examine stylistic inconsistencies and manipulative language patterns .
Approach: They propose a method that emphasizes the analysis of text-based transcripts . they examine stylistic inconsistencies and manipulative language patterns .
Outcome: The proposed method improves the accuracy of distinguishing between fake and real materials.

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