33 citations · 88 across the 15 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
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…