33 citations · 88 across the 15 of their papers we have counts for
21 papers
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…
Repetition, Not Length: Isolating the Counting Failure in Neural Text-to-Speech
Kirill Borodin, Vasilii Kudryavtsev, Maxim Maslov +1
Text-to-speech models loop, truncate and lose count on text that repeats a phrase many times. We show that repetition itself is what breaks them, not the length that comes with it.…
The Null Token Knows: Reducing Message-Free Hallucination in ASR and NMT
Kirill Borodin, Vasiliy Kudryavtsev, Ivan Viakhirev +1
Modern encoder-decoder systems can produce fluent text even when their input contains no recoverable message. We study this failure in ASR and NMT through the models' reserved null…
Production and installation of wavelength-shifting reflective light enhancers for the Short-Baseline Near Detector
R. Acciarri, L. Aliaga-Soplin, R. Alvarez-Garrote +194
We report on the design, production, and installation of a wavelength-shifting reflective system on the cathode of the Short-Baseline Near Detector (SBND), a liquid argon time proj…
First Detection of Extensive Air Showers Using a Small-Aperture Fluorescence Telescope
M. Zotov, A. Trusov, P. Klimov +5
We report on the detection of extensive air showers (EAS) generated by ultra-high-energy cosmic rays using a small-aperture fluorescence telescope (FT) deployed at the Mount Aragat…
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…
Study of few-electron backgrounds in the LUX-ZEPLIN detector
D. S. Akerib, A. K. Al Musalhi, F. Alder +204
The LUX-ZEPLIN (LZ) experiment aims to detect rare interactions between dark matter particles and xenon. Although the detector is designed to be the most sensitive to GeV/--Te…
Flow-dependent tagging of Pb decays in the LZ dark matter detector
J. Aalbers, D. S. Akerib, A. K. Al Musalhi +205
The LUX-ZEPLIN (LZ) experiment is searching for dark matter interactions in a liquid xenon time projection chamber (LXe-TPC). This article demonstrates how control of the flow stat…
The Short-Baseline Near Detector at Fermilab
SBND Collaboration, R. Acciarri, L. Aliaga-Soplin +195
SBND is a 112 ton liquid argon time projection chamber (LArTPC) neutrino detector located 110 meters from the Booster Neutrino Beam (BNB) target at Fermilab. Its main goals include…
Neutrinoless Double Beta Decay Sensitivity of the XLZD Rare Event Observatory
XLZD Collaboration, J. Aalbers, K. Abe +441
The XLZD collaboration is developing a two-phase xenon time projection chamber with an active mass of 60 to 80 t capable of probing the remaining WIMP-nucleon interaction parameter…
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…
Transforming a rare event search into a not-so-rare event search in real-time with deep learning-based object detection
J. Schueler, H. M. Araújo, S. N. Balashov +40
Deep learning-based object detection algorithms enable the simultaneous classification and localization of any number of objects in image data. Many of these algorithms are capable…
First Constraints on WIMP-Nucleon Effective Field Theory Couplings in an Extended Energy Region From LUX-ZEPLIN
LZ Collaboration, J. Aalbers, D. S. Akerib +197
Following the first science results of the LUX-ZEPLIN (LZ) experiment, a dual-phase xenon time projection chamber operating from the Sanford Underground Research Facility in Lead,…
The MIGDAL experiment: Measuring a rare atomic process to aid the search for dark matter
H. M. Araújo, S. N. Balashov, J. E. Borg +33
We present the Migdal In Galactic Dark mAtter expLoration (MIGDAL) experiment aiming at the unambiguous observation and study of the so-called Migdal effect induced by fast-neutron…
Fast and Flexible Analysis of Direct Dark Matter Search Data with Machine Learning
LUX Collaboration, D. S. Akerib, S. Alsum +97
We present the results from combining machine learning with the profile likelihood fit procedure, using data from the Large Underground Xenon (LUX) dark matter experiment. This app…
Long-baseline neutrino oscillation physics potential of the DUNE experiment
DUNE Collaboration, B. Abi, R. Acciarri +966
The sensitivity of the Deep Underground Neutrino Experiment (DUNE) to neutrino oscillation is determined, based on a full simulation, reconstruction, and event selection of the far…