2 citations · 3 across the 11 of their papers we have counts for
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TidyVoice 2026 Challenge Evaluation Plan
Aref Farhadipour, Jan Marquenie, Srikanth Madikeri +6
The performance of speaker verification systems degrades significantly under language mismatch, a critical challenge exacerbated by the field's reliance on English-centric data. To…
Spoofing-Aware Speaker Verification via Wavelet Prompt Tuning and Multi-Model Ensembles
Aref Farhadipour, Ming Jin, Valeriia Vyshnevetska +3
This paper describes the UZH-CL system submitted to the SASV section of the WildSpoof 2026 challenge. The challenge focuses on the integrated defense against generative spoofing at…
TidyVoice: A Curated Multilingual Dataset for Speaker Verification Derived from Common Voice
Aref Farhadipour, Jan Marquenie, Srikanth Madikeri +1
The development of robust, multilingual speaker recognition systems is hindered by a lack of large-scale, publicly available and multilingual datasets, particularly for the read-sp…
Towards Language-Independent Face-Voice Association with Multimodal Foundation Models
Aref Farhadipour, Teodora Vukovic, Volker Dellwo
This paper describes the UZH-CL system submitted to the FAME2026 Challenge. The challenge focuses on cross-modal verification under unique multilingual conditions, specifically uns…
CL-UZH submission to the NIST SRE 2024 Speaker Recognition Evaluation
Aref Farhadipour, Shiran Liu, Masoumeh Chapariniya +4
The CL-UZH team submitted one system each for the fixed and open conditions of the NIST SRE 2024 challenge. For the closed-set condition, results for the audio-only trials were ach…
State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition
Aref Farhadipour, Homayoon Beigi, Volker Dellwo +1
Whispered speech recognition presents significant challenges for conventional automatic speech recognition systems, particularly when combined with dialect variation. However, util…