1 citations · 1 across the 3 of their papers we have counts for
11 papers
Think Shallow, Solve Deep: Controlling Recurrent Dynamics for Reliable Test-Time Depth
Ivan Viakhirev, Kirill Borodin, Amirah Almutairi +3
Recurrent-depth reasoners aim to solve harder problems by iterating their update longer at test time, but additional iterations can improve, preserve, or degrade an answer. We show…
When Spoof Detectors Travel: Evaluation Across 66 Languages in the Low-Resource Language Spoofing Corpus
Kirill Borodin, Vasiliy Kudryavtsev, Maxim Maslov +2
We introduce LRLspoof, a large-scale multilingual synthetic-speech corpus for cross-lingual spoof detection, comprising 2,732 hours of audio generated with 24 open-source TTS syste…
From Dispersion to Attraction: Spectral Dynamics of Hallucination Across Whisper Model Scales
Ivan Viakhirev, Kirill Borodin, Grach Mkrtchian
Hallucinations in large ASR models present a critical safety risk. In this work, we propose the \textit{Spectral Sensitivity Theorem}, which predicts a phase transition in deep net…
Balalaika: Data-Centric, Prosody-Aware Annotation Pipeline for Russian Speech
Kirill Borodin, Nikita Vasiliev, Vasiliy Kudryavtsev +3
We introduce Balalaika, an open-source, data-centric pipeline for processing audio and producing prosody-aware annotations. It combines semantic VAD for context-preserving segmenta…
AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge
Kirill Borodin, Vasiliy Kudryavtsev, Dmitrii Korzh +4
Automatic Speaker Verification (ASV) systems, which identify speakers based on their voice characteristics, have numerous applications, such as user authentication in financial tra…
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…