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Adriana Stan

2 accepted papers

2026

UNDERSTANDING THE STRENGTHS AND WEAKNESSES OF SSL MODELS FOR AUDIO DEEPFAKE MODEL ATTRIBUTION

ICASSP 2026oral

Audio deepfake model attribution aims to mitigate the misuse of synthetic speech by identifying the source model responsible for generating a given audio sample, enabling accountability and informing vendors. The task is challenging, but self-supervised learning (SSL)-derived acoustic features have…

Cited by 0SourcePDFScholar
2021

LiRo: Benchmark and leaderboard for Romanian language tasks

NeurIPS 2021poster

Recent advances in NLP have been sustained by the availability of large amounts of data and standardized benchmarks, which are not available for many languages. As a small step towards addressing this we propose LiRo, a platform for benchmarking models on the Romanian language on nine standard tasks…

Cited by 32SourcecodeScholar