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LSTM-Based Language Models for Spontaneous Speech Recognition., and . SPECOM, volume 9811 of Lecture Notes in Computer Science, page 469-475. Springer, (2016)LT-LM: A Novel Non-Autoregressive Language Model for Single-Shot Lattice Rescoring., , , , , , , , , and . Interspeech, page 4039-4043. ISCA, (2021)Target-Speaker Voice Activity Detection: A Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario., , , , , , , , , and 2 other author(s). INTERSPEECH, page 274-278. ISCA, (2020)R-Vectors: New Technique for Adaptation to Room Acoustics., , , , , , , , , and 1 other author(s). INTERSPEECH, page 1243-1247. ISCA, (2019)Advances in STC Russian Spontaneous Speech Recognition System., and . SPECOM, volume 9811 of Lecture Notes in Computer Science, page 116-123. Springer, (2016)Simplified Simultaneous Perturbation Stochastic Approximation for the Optimization of Free Decoding Parameters., , and . SPECOM, volume 8773 of Lecture Notes in Computer Science, page 402-409. Springer, (2014)Exploration of End-to-End ASR for OpenSTT - Russian Open Speech-to-Text Dataset., , and . SPECOM, volume 12335 of Lecture Notes in Computer Science, page 35-44. Springer, (2020)An Investigation of Mixup Training Strategies for Acoustic Models in ASR., , , , , , and . INTERSPEECH, page 2903-2907. ISCA, (2018)Improving Acoustic Models for Russian Spontaneous Speech Recognition., , , , and . SPECOM, volume 9319 of Lecture Notes in Computer Science, page 234-242. Springer, (2015)Controlling the Uncertainty Area in the Real Time LVCSR Application., , , and . SPECOM, volume 8773 of Lecture Notes in Computer Science, page 153-160. Springer, (2014)