2 citations · 3 across the 10 of their papers we have counts for
13 papers
Unified Shared Encoder in Spoof-Aware Speaker Verification with Hybrid Wavelet Prompt Tuning
Aref Farhadipour, Srikanth Madikeri, Teodora Vukovic +2
Spoofing-aware speaker verification (SASV) must confirm who is speaking and that the speech is genuine, but current systems gain one at the expense of the other. Modular cascades a…
UZH-CL at ArA-DF 2026: Prompt-Tuned Foundation Models and Track-Adaptive Score Fusion for Arabic Speech Deepfake Detection
Aref Farhadipour, Teodora Vukovic, Petr Motlicek
Detecting synthetic and voice-converted speech remains difficult for low-resource languages with dialectal diversity, where systems must generalize across regional dialects and uns…
Micro-Expression-Aware Avatar Fingerprinting via Inter-Frame Feature Differencing
Masoumeh Chapariniya, Jean-Marc Odobez, Volker Dellwo +1
Avatar fingerprinting, i.e., verifying who drives a synthetic talking-head video rather than whether it is real, is a critical safeguard for authorized use of face-reenactment tech…
Foundation Model Embeddings Meet Blended Emotions: A Multimodal Fusion Approach for the BLEMORE Challenge
Masoumeh Chapariniya, Aref Farhadipour, Sarah Ebling +2
We present our system for the BLEMORE Challenge at FG 2026 on blended emotion recognition with relative salience prediction. Our approach combines six encoder families through late…
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…
Adaptive Multimodal Person Recognition: A Robust Framework for Handling Missing Modalities
Aref Farhadipour, Teodora Vukovic, Volker Dellwo +2
Person identification systems often rely on audio, visual, or behavioral cues, but real-world conditions frequently present with missing or degraded modalities. To address this cha…
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…
Investigating Identity Signals in Conversational Facial Dynamics via Disentangled Expression Features
Masoumeh Chapariniya, Pierre Vuillecard, Jean-Marc Odobez +2
This work investigates whether individuals can be identified solely through the pure dynamical components of their facial expressions, independent of static facial appearance. We l…
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…
Beyond Appearance: Transformer-based Person Identification from Conversational Dynamics
Masoumeh Chapariniya, Teodora Vukovic, Sarah Ebling +1
This paper investigates the performance of transformer-based architectures for person identification in natural, face-to-face conversation scenario. We implement and evaluate a two…
Multimodal Emotion Recognition and Sentiment Analysis in Multi-Party Conversation Contexts
Aref Farhadipour, Hossein Ranjbar, Masoumeh Chapariniya +3
Emotion recognition and sentiment analysis are pivotal tasks in speech and language processing, particularly in real-world scenarios involving multi-party, conversational data. Thi…
Two-Stream Spatial-Temporal Transformer Framework for Person Identification via Natural Conversational Keypoints
Masoumeh Chapariniya, Hossein Ranjbar, Teodora Vukovic +2
In the age of AI-driven generative technologies, traditional biometric recognition systems face unprecedented challenges, particularly from sophisticated deepfake and face reenactm…
Comparative Analysis of Modality Fusion Approaches for Audio-Visual Person Identification and Verification
Aref Farhadipour, Masoumeh Chapariniya, Teodora Vukovic +1
Multimodal learning involves integrating information from various modalities to enhance learning and comprehension. We compare three modality fusion strategies in person identifica…