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)

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)

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)

CTC Variations Through New WFST Topologies. - Aleksandr Laptev; Somshubra Majumdar; Boris Ginsburg (INTERSPEECH, 2022)

Fast Entropy-Based Methods of Word-Level Confidence Estimation for End-to-End Automatic Speech Recognition. - Aleksandr Laptev; Boris Ginsburg (SLT, 2022)

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

Confidence-based Ensembles of End-to-End Speech Recognition Models. - Igor Gitman; Vitaly Lavrukhin; Aleksandr Laptev; Boris Ginsburg (INTERSPEECH, 2023)

The CHiME-7 Challenge: System Description and Performance of NeMo Team's DASR System. - Taejin Park; He Huang 012; Ante Jukic; Kunal Dhawan; Krishna C. Puvvada; Nithin Rao Koluguri; Nikolay Karpov; Aleksandr Laptev; Jagadeesh Balam; Boris Ginsburg (CoRR, 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)

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)