4 papers
Evaluating Generalization and Robustness in Russian Anti-Spoofing: The RuASD Initiative
Ksenia Lysikova, Kirill Borodin, Grach Mkrtchian
RuASD (Russian AntiSpoofing Dataset) is a dedicated, reproducible benchmark for Russian-language speech anti-spoofing designed to evaluate both in-domain discrimination and robustn…
Combining Masked Language Modeling and Cross-Modal Contrastive Learning for Prosody-Aware TTS
Kirill Borodin, Vasiliy Kudryavtsev, Maxim Maslov +3
We investigate multi-stage pretraining for prosody modeling in diffusion-based TTS. A speaker-conditioned dual-stream encoder is trained with masked language modeling followed by S…
Benchmarking Compact VLMs for Clip-Level Surveillance Anomaly Detection Under Weak Supervision
Kirill Borodin, Kirill Kondrashov, Nikita Vasiliev +4
CCTV safety monitoring demands anomaly detectors combine reliable clip-level accuracy with predictable per-clip latency despite weak supervision. This work investigates compact vis…
Interpreting Multi-Branch Anti-Spoofing Architectures: Correlating Internal Strategy with Empirical Performance
Ivan Viakhirev, Kirill Borodin, Mikhail Gorodnichev +1
Multi-branch deep neural networks like AASIST3 achieve state-of-the-art comparable performance in audio anti-spoofing, yet their internal decision dynamics remain opaque compared t…