Exploring End-to-End Techniques for Low-Resource Speech Recognition. - Vladimir Bataev; Maxim Korenevsky; Ivan Medennikov; Alexander Zatvornitskiy (SPECOM, 2018)

R-Vectors: New Technique for Adaptation to Room Acoustics. - Yuri Y. Khokhlov; Alexander Zatvornitskiy; Ivan Medennikov; Ivan Sorokin; Tatiana Prisyach; Aleksei Romanenko; Anton Mitrofanov; Vladimir Bataev; Andrei Andrusenko; Mariya Korenevskaya; Oleg Petrov (INTERSPEECH, 2019)

The STC ASR System for the VOiCES from a Distance Challenge 2019. - Ivan Medennikov; Yuri Y. Khokhlov; Aleksei Romanenko; Ivan Sorokin; Anton Mitrofanov; Vladimir Bataev; Andrei Andrusenko; Tatiana Prisyach; Mariya Korenevskaya; Oleg Petrov; Alexander Zatvornitskiy (INTERSPEECH, 2019)

Techniques for Vocabulary Expansion in Hybrid Speech Recognition Systems. - Nikolay Malkovsky; Vladimir Bataev; Dmitrii Sviridkin; Natalia Kizhaeva; Aleksandr Laptev; Ildar V. Valiev; Oleg Petrov (CoRR, 2020)

Digital Peter: New Dataset, Competition and Handwriting Recognition Methods. - Mark Potanin; Denis Dimitrov; Alex Shonenkov; Vladimir Bataev; Denis Karachev; Maxim Novopoltsev; Andrey Chertok (HIP@ICDAR, 2021)

Digital Peter: Dataset, Competition and Handwriting Recognition Methods. - Mark Potanin; Denis Dimitrov; Alex Shonenkov; Vladimir Bataev; Denis Karachev; Maxim Novopoltsev (CoRR, 2021)

Powerful and Extensible WFST Framework for Rnn-Transducer Losses. - Aleksandr Laptev; Vladimir Bataev; Igor Gitman; Boris Ginsburg (ICASSP, 2023)

Text-only domain adaptation for end-to-end ASR using integrated text-to-mel-spectrogram generator. - Vladimir Bataev; Roman Korostik; Evgeny Shabalin; Vitaly Lavrukhin; Boris Ginsburg (INTERSPEECH, 2023)

NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2023. - Oleksii Hrinchuk; Vladimir Bataev; Evelina Bakhturina; Boris Ginsburg (IWSLT@ACL, 2023)

Fast Context-Biasing for CTC and Transducer ASR models with CTC-based Word Spotter. - Andrei Andrusenko; Aleksandr Laptev; Vladimir Bataev; Vitaly Lavrukhin; Boris Ginsburg (INTERSPEECH, 2024)

Speed of Light Exact Greedy Decoding for RNN-T Speech Recognition Models on GPU. - Daniel Galvez; Vladimir Bataev; Hainan Xu; Tim Kaldewey (INTERSPEECH, 2024)

Label-Looping: Highly Efficient Decoding For Transducers. - Vladimir Bataev; Hainan Xu; Daniel Galvez; Vitaly Lavrukhin; Boris Ginsburg (SLT, 2024)

Three-in-One: Fast and Accurate Transducer for Hybrid-Autoregressive ASR. - Hainan Xu; Travis M. Bartley; Vladimir Bataev; Boris Ginsburg (CoRR, 2024)

TTS-Transducer: End-to-End Speech Synthesis with Neural Transducer. - Vladimir Bataev; Subhankar Ghosh; Vitaly Lavrukhin; Jason Li (ICASSP, 2025)

HAINAN: Fast and Accurate Transducer for Hybrid-Autoregressive ASR. - Hainan Xu; Travis M. Bartley; Vladimir Bataev; Boris Ginsburg (ICLR, 2025)

RNN-Transducer-based Losses for Speech Recognition on Noisy Targets. - Vladimir Bataev (CoRR, 2025)

WIND: Accelerated RNN-T Decoding with Windowed Inference for Non-blank Detection. - Hainan Xu; Vladimir Bataev; Lilit Grigoryan; Boris Ginsburg (CoRR, 2025)

NGPU-LM: GPU-Accelerated N-Gram Language Model for Context-Biasing in Greedy ASR Decoding. - Vladimir Bataev; Andrei Andrusenko; Lilit Grigoryan; Aleksandr Laptev; Vitaly Lavrukhin; Boris Ginsburg (CoRR, 2025)

Pushing the Limits of Beam Search Decoding for Transducer-based ASR models. - Lilit Grigoryan; Vladimir Bataev; Andrei Andrusenko; Hainan Xu; Vitaly Lavrukhin; Boris Ginsburg (CoRR, 2025)