Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Anna Bulusheva"'
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319529196
AIST
AIST
The paper deals with extracting contexts for keywords found in text, in particular in Automatic Speech Recognition (ASR) output. We propose using a syntactic parser to find contexts by analysing the sentence structure, rather than simply using a wind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f64d81f98f90a0796d70ef8d89c6c85
https://doi.org/10.1007/978-3-319-52920-2_14
https://doi.org/10.1007/978-3-319-52920-2_14
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
Autor:
Ivan Medennikov, Anna Bulusheva
Publikováno v:
Speech and Computer ISBN: 9783319439570
SPECOM
SPECOM
The language models (LMs) used in speech recognition to predict the next word (given the context) often rely on too short context, which leads to recognition errors. In theory, using recurrent neural networks (RNN) should solve this problem, but in p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eb85b118cf29cd8399ebacecb27222a
https://doi.org/10.1007/978-3-319-43958-7_56
https://doi.org/10.1007/978-3-319-43958-7_56
Autor:
Natalia A. Tomashenko, Kirill Levin, Nickolay Merkin, German A. Chernykh, Ivan Medennikov, Irina Ponomareva, Anna Bulusheva, Alexey Prudnikov
Publikováno v:
INTERSPEECH
Scopus-Elsevier
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::509567934ab01680f177f10e1224c604
https://doi.org/10.21437/interspeech.2014-352
https://doi.org/10.21437/interspeech.2014-352
