Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Alexander Zatvornitskiy"'
Autor:
Alexander Zatvornitskiy
Publikováno v:
Speech and Computer ISBN: 9783031209796
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd08138bdf6a907f1eb7daad641e2b68
https://doi.org/10.1007/978-3-031-20980-2_60
https://doi.org/10.1007/978-3-031-20980-2_60
Autor:
Ivan Sorokin, Tatiana Prisyach, Aleksei Romanenko, Oleg Petrov, Alexander Zatvornitskiy, Anton Mitrofanov, Andrei Andrusenko, Vladimir Bataev, Yuri Y. Khokhlov, Mariya Korenevskaya, Ivan Medennikov
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ebc27557daea386a85831cb6bf2556f
https://doi.org/10.21437/interspeech.2019-2645
https://doi.org/10.21437/interspeech.2019-2645
Autor:
Yuri Y. Khokhlov, Ivan Sorokin, Alexander Zatvornitskiy, Andrei Andrusenko, Ivan Medennikov, Aleksei Romanenko, Anton Mitrofanov, Tatiana Prisyach, Mariya Korenevskaya, Vladimir Bataev, Oleg Petrov
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d387d3d41687cd62f0c8b7332549e81b
https://doi.org/10.21437/interspeech.2019-1574
https://doi.org/10.21437/interspeech.2019-1574
Publikováno v:
Speech and Computer ISBN: 9783319995786
SPECOM
SPECOM
In this work we present simple grapheme-based system for low-resource speech recognition using Babel data for Turkish spontaneous speech (80 h). We have investigated different neural network architectures performance, including fully-convolutional, r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb8b5b95c24a6768c3f594b2ab4adcec
https://doi.org/10.1007/978-3-319-99579-3_4
https://doi.org/10.1007/978-3-319-99579-3_4
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
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
https://doi.org/10.1007/978-3-319-66429-3_7
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3fb3d06dc2d57a282827a3ff64e244c
https://doi.org/10.21437/interspeech.2016-473
https://doi.org/10.21437/interspeech.2016-473
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783319455099
TSD
TSD
A successful application of automatic speech recognition often requires the ability to recognize words that are not known during system building phase. Modern speech recognition decoders employ large WFST graphs so to add new words one needs to recom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73e00f2ad8f5f596dd89b0eccd5ed22e
https://doi.org/10.1007/978-3-319-45510-5_52
https://doi.org/10.1007/978-3-319-45510-5_52
Publikováno v:
Speech and Computer ISBN: 9783319115801
SPECOM
SPECOM
We propose an approach to improving the usability of an automatic speech recognition system in real time. We introduce the concept of an “uncertainty area” (UA): a time span within which the current recognition result may vary. By fixing the leng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47326425ac80bc70cf9504378d4e23ba
https://doi.org/10.1007/978-3-319-11581-8_19
https://doi.org/10.1007/978-3-319-11581-8_19