most citedBalalaika: Data-Centric, Prosody-Aware Annotation Pipeline for Russian Speech

1 citations · 1 across the 3 of their papers we have counts for

collaborators

8 papers

cs.SD2026

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…

cs.SD2026

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…

cs.SD2026

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…

cs.SD2026

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…

cs.SD2026

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…

cs.SD2026

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…

cs.CV2026

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…

cs.CL2025★ 1 cited

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…