Zobrazeno 1 - 10 of 17 pro vyhledávání: '"Yuri Y. Khokhlov"'
1
LT-LM: a novel non-autoregressive language model for single-shot lattice rescoring
Autor: Yuri Y. Khokhlov, Andrei Andrusenko, Maxim Korenevsky, Ivan Medennikov, Mariya Korenevskaya, Aleksandr Laptev, Anton Mitrofanov, Aleksei Romanenko, Ivan Podluzhny, Aleksei Ilin
Neural network-based language models are commonly used in rescoring approaches to improve the quality of modern automatic speech recognition (ASR) systems. Most of the existing methods are computationally expensive since they use autoregressive langu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cf51c8c93b6c2f3481391c44d0dce6a
http://arxiv.org/abs/2104.02526
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2
Target-Speaker Voice Activity Detection: a Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario
Autor: Ivan Podluzhny, Ivan Sorokin, Yuri Y. Khokhlov, Andrei Andrusenko, Tatiana Prisyach, Mariya Korenevskaya, Aleksei Romanenko, Aleksandr Laptev, Maxim Korenevsky, Ivan Medennikov, Tatiana Timofeeva, Anton Mitrofanov
Publikováno v: INTERSPEECH
Speaker diarization for real-life scenarios is an extremely challenging problem. Widely used clustering-based diarization approaches perform rather poorly in such conditions, mainly due to the limited ability to handle overlapping speech. We propose
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ae9f336565297623daccc3ef226a606
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8
Fast and Accurate OOV Decoder on High-Level Features
Autor: Ivan Medennikov, Yuri Y. Khokhlov, Natalia A. Tomashenko, Aleksei Romanenko
Publikováno v: INTERSPEECH
This work proposes a novel approach to out-of-vocabulary (OOV) keyword search (KWS) task. The proposed approach is based on using high-level features from an automatic speech recognition (ASR) system, so called phoneme posterior based (PPB) features,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7ecde2af8f46c8254fe58064e05e74f
https://doi.org/10.21437/interspeech.2017-1367
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9
Acoustic Modeling in the STC Keyword Search System for OpenKWS 2016 Evaluation
Autor: Ivan Medennikov, Natalia A. Tomashenko, Valentin Mendelev, Yuri Y. Khokhlov, Alexey Prudnikov, Alexander Zatvornitskiy, Aleksei Romanenko, Maxim Korenevsky
Publikováno v: Speech and Computer ISBN: 9783319664286
SPECOM
This paper describes in detail the acoustic modeling part of the keyword search system developed in the Speech Technology Center (STC) for the OpenKWS 2016 evaluation. The key idea was to utilize diversity of both sound representations and acoustic m
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::69237f28e8ac6b08f3c4094a5ee9a72c
https://doi.org/10.1007/978-3-319-66429-3_7
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Plný text Recenzováno Digitální knihovna AV ČR
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