1 citations · 3 across the 12 of their papers we have counts for
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Measuring the Verifier's Floor: How Much Apparent Rare-Word Text-to-Speech Error Is ASR Error?
Kirill Borodin, Vasilii Kudryavtsev, Nikita Vasiliev +1
Text-to-speech (TTS) is usually evaluated by transcribing its output with an automatic speech recognition (ASR) system, so the word error rate also counts recognizer errors. We mea…
Text-Only LLM Correctors Break Correct Transcripts: A Repair-Damage Analysis of Audio Grounding in ASR Error Correction
Vasiliy Kudryavtsev, Kirill Borodin, Nikita Vasiliev +2
LLM correctors of ASR output are judged by aggregate WER, which hides what they fix and what they break. We decompose every WER change exactly into repaired tokens, damaged tokens…
Balalaika-Longform: A Russian Speech Corpus for Continuous Long-Form Text-to-Speech
Nikita Vasiliev, Kirill Borodin, Vasilii Kudryavtsev +2
Long-form text-to-speech must retain requested words over extended generations, yet sentence-level training and evaluation can hide omissions and early stops. We introduce Balalaik…
Collapse, Not Invariance: Diagnosing Auxiliary Objectives in Speech Anti-Spoofing
Ksenia Lysikova, Kirill Borodin, Maxim Maslov +1
Speech anti-spoofing countermeasures degrade when the generator, codec or channel changes, and a common remedy is an auxiliary objective that shapes the embedding space; whether it…
ProxyMOS: Label-Free Speech Quality Assessment by Multi-Teacher Distillation with Adaptive Routing
Maxim Trokunov, Kirill Borodin, Nikita Vasiliev +1
Human mean opinion scores (MOS) are costly to collect, and non-intrusive MOS predictors degrade sharply outside their training domain. ProxyMOS turns a pool of public MOS predictor…
RAWD-TTS: Ratio-Free Reward Alignment for Discrete-Diffusion Voice Cloning
Maxim Maslov, Kirill Borodin, Vasilii Kudryavtsev +2
Zero-shot text-to-speech synthesizes new utterances in a speaker's voice from a short reference recording. Voice cloning requires accurate content and preserved speaker identity, b…
ReDimNet2+: Multi-Corpus Data Scaling for Robust Speaker Verification
Kirill Borodin, Vasilii Kudryavtsev, Maxim Maslov +1
Automatic speaker verification must remain reliable across devices, rooms, and compression pipelines. We present ReDimNet2+, which scales training of the compact ReDimNet2 backbone…
Training-Free Model Selection and Domain-Aware Score Calibration for First-Shot Anomalous Sound Detection
Grach Mkrtchian
First-shot anomalous sound detection in DCASE Challenge Task 2 must flag anomalies of unseen machine types with a single threshold, without knowing whether a test clip comes from t…
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
Text encoders in neural text-to-speech (TTS) see only linguistic content, so prosody must be inferred from paired data and synthesised intonation is often flat. Contrastive text-au…
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…
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…
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…