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Adriana Stan

4 papers hereh-index 574 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.AS4
same name
  • Adriana Stan — 4 papers, h 5
  • Adriana Stan — 3 papers
  • Adriana Stan — 3 papers, h 13
  • Adriana Stan — 3 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedHow Open is Open TTS? A Practical Evaluation of Open Source TTS Tools

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

eess.AS2026★ 1 cited

How Open is Open TTS? A Practical Evaluation of Open Source TTS Tools

Teodora Răgman, Adrian Bogdan Stânea, Horia Cucu +1

Open-source text-to-speech (TTS) frameworks have emerged as highly adaptable platforms for developing speech synthesis systems across a wide range of languages. However, their appl…

eess.AS2025

Unmasking real-world audio deepfakes: A data-centric approach

David Combei, Adriana Stan, Dan Oneata +2

The growing prevalence of real-world deepfakes presents a critical challenge for existing detection systems, which are often evaluated on datasets collected just for scientific pur…

eess.AS2025

TADA: Training-free Attribution and Out-of-Domain Detection of Audio Deepfakes

Adriana Stan, David Combei, Dan Oneata +1

Deepfake detection has gained significant attention across audio, text, and image modalities, with high accuracy in distinguishing real from fake. However, identifying the exact so…

eess.AS2024

WavLM model ensemble for audio deepfake detection

David Combei, Adriana Stan, Dan Oneata +1

Audio deepfake detection has become a pivotal task over the last couple of years, as many recent speech synthesis and voice cloning systems generate highly realistic speech samples…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.