Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Aleš Pražák"'
The paper describes a novel approach to Spoken Term Detection (STD) in large spoken archives using deep LSTM networks. The work is based on the previous approach of using Siamese neural networks for STD and naturally extends it to directly localize a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c2dead702f41ae336dfb2a43bca9bef
Publikováno v:
Multimedia Tools and Applications. 79:1203-1220
Tento článek představuje originální systém pro titulkování živého televizního vysílání využívající stínové přemlouvání a automatické rozpoznávání řeči. Na rozdíl od několika komerčně dostupných řešení pro živé t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::596b3eb1167e54be3492594a3ed8bfbc
https://doi.org/10.1007/s11042-019-08235-3
https://doi.org/10.1007/s11042-019-08235-3
Publikováno v:
Statistical Language and Speech Processing ISBN: 9783030895785
SLSP
SLSP
V tomto článku diskutujeme některé zajímavé rysy trénování speciálního akustického modelu pouze pro jednoho řečníka s konstantním akustickým pozadím (akustický kanál). V současné době metoda LF-MMI dosahuje nejlepších výsled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::974b774fa0d19651c6b8ab83f9b9b574
http://hdl.handle.net/11025/47266
http://hdl.handle.net/11025/47266
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783030835262
TDS
TDS
Czech and Slovak languages are very similar, not only in writing but also in phonetic form. This work aims to find a suitable combination of these two languages concerning better recognition results. We would like to show such a contribution on the M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b79f40f456d7e9cfafdc1bccc7320e8
https://doi.org/10.1007/978-3-030-83527-9_45
https://doi.org/10.1007/978-3-030-83527-9_45
Publikováno v:
Speech and Computer ISBN: 9783030878016
SPECOM
SPECOM
The Malach Project [6] verified the possibility of using automatic speech recognition (ASR) methods to search for information in large multilingual archives of Holocaust testimonies. After the end of the MALACH project, in which we participated, we c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9140189f5281b300eff79a3e5acaa09
http://hdl.handle.net/11025/47254
http://hdl.handle.net/11025/47254
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783030583224
TDS
TDS
In this paper, we discuss some of the properties of training acoustic models using a lattice-free version of the maximum mutual information criterion (LF-MMI). Currently, the LF-MMI method achieves state-of-the-art results on many speech recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e0954787af912082d6201b9eec10577
http://hdl.handle.net/11025/42718
http://hdl.handle.net/11025/42718
Autor:
Luděk Müller, Lucie Zajícová, Zbyněk Zajíc, Petr Salajka, Josef Psutka, Aleš Pražák, Jaromír Novotný
Publikováno v:
Speech and Computer ISBN: 9783319995786
SPECOM
SPECOM
In this paper, we describe the initial stages of the project “Access to a Linguistically Structured Database of Enquiries from the Language Consulting Center”. This project is attempting to provide an improved access to the large archives of main
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::403d220ac0e670fa9b5e06fac4f4246d
https://doi.org/10.1007/978-3-319-99579-3_79
https://doi.org/10.1007/978-3-319-99579-3_79
Autor:
Aleš Pražák, Jan Lehečka
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783030007935
TSD
TSD
In this paper, we present our improvements in online topic-based language model adaptation. Our aim is to enhance the automatic speech recognition of a multi-topic speech which is to be recognized in the real-time (online). Latent Dirichlet Allocatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17a1dd5ba12f713d4c22612dc9f18122
https://doi.org/10.1007/978-3-030-00794-2_36
https://doi.org/10.1007/978-3-030-00794-2_36
Publikováno v:
Speech and Computer ISBN: 9783319995786
SPECOM
SPECOM
In this paper, we describe a semi-supervised training method used to generalize the Air Traffic Control (ATC) speech recognizer. The paper introduces the problems and challenges in ATC English recognition, describes available datasets and ongoing res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fafa5f25d4207be016fc85a166ac887
https://doi.org/10.1007/978-3-319-99579-3_66
https://doi.org/10.1007/978-3-319-99579-3_66
Autor:
Pavel Ircing, Jan Vavruška, Lucie Skorkovská, Jan Lehečka, Aleš Pražák, Jan Švec, Jan Hoidekr, Petr Stanislav
Publikováno v:
Language Resources and Evaluation. 48:227-248
The paper describes a general framework for mining large amounts of text data from a defined set of Web pages. The acquired data are meant to constitute a corpus for training robust and reliable language models and thus the framework needs to also in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f11a851388b450bf326bb286c910e4cc
https://doi.org/10.1007/s10579-013-9246-z
https://doi.org/10.1007/s10579-013-9246-z