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)

You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation. - Aleksandr Laptev; Roman Korostik; Aleksey Svischev; Andrei Andrusenko; Ivan Medennikov; Sergey Rybin (CISP-BMEI, 2020)

Towards a Competitive End-to-End Speech Recognition for CHiME-6 Dinner Party Transcription. - Andrei Andrusenko; Aleksandr Laptev; Ivan Medennikov (INTERSPEECH, 2020)

Target-Speaker Voice Activity Detection: A Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario. - Ivan Medennikov; Maxim Korenevsky; Tatiana Prisyach; Yuri Y. Khokhlov; Mariya Korenevskaya; Ivan Sorokin; Tatiana Timofeeva; Anton Mitrofanov; Andrei Andrusenko; Ivan Podluzhny; Aleksandr Laptev; Aleksei Romanenko (INTERSPEECH, 2020)

Exploration of End-to-End ASR for OpenSTT - Russian Open Speech-to-Text Dataset. - Andrei Andrusenko; Aleksandr Laptev; Ivan Medennikov (SPECOM, 2020)

LT-LM: A Novel Non-Autoregressive Language Model for Single-Shot Lattice Rescoring. - Anton Mitrofanov; Mariya Korenevskaya; Ivan Podluzhny; Yuri Y. Khokhlov; Aleksandr Laptev; Andrei Andrusenko; Aleksei Ilin; Maxim Korenevsky; Ivan Medennikov; Aleksei Romanenko (Interspeech, 2021)

Dynamic Acoustic Unit Augmentation with BPE-Dropout for Low-Resource End-to-End Speech Recognition. - Aleksandr Laptev; Andrei Andrusenko; Ivan Podluzhny; Anton Mitrofanov; Ivan Medennikov; Yuri Matveev (Sensors, 2021)

UCONV-Conformer: High Reduction of Input Sequence Length for End-to-End Speech Recognition. - Andrei Andrusenko; Rauf Nasretdinov; Aleksei Romanenko (ICASSP, 2023)

SALM: Speech-Augmented Language Model with in-Context Learning for Speech Recognition and Translation. - Zhehuai Chen; He Huang 012; Andrei Andrusenko; Oleksii Hrinchuk; Krishna C. Puvvada; Jason Li; Subhankar Ghosh; Jagadeesh Balam; Boris Ginsburg (ICASSP, 2024)

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)

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)