Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Mizgajski, Jan"'
Autor:
Szymański, Piotr, Żelasko, Piotr, Morzy, Mikolaj, Szymczak, Adrian, Żyła-Hoppe, Marzena, Banaszczak, Joanna, Augustyniak, Lukasz, Mizgajski, Jan, Carmiel, Yishay
Natural language processing of conversational speech requires the availability of high-quality transcripts. In this paper, we express our skepticism towards the recent reports of very low Word Error Rates (WERs) achieved by modern Automatic Speech Re
Externí odkaz:
http://arxiv.org/abs/2010.03432
Autor:
Augustyniak, Łukasz, Szymanski, Piotr, Morzy, Mikołaj, Zelasko, Piotr, Szymczak, Adrian, Mizgajski, Jan, Carmiel, Yishay, Dehak, Najim
Automatic Speech Recognition (ASR) systems introduce word errors, which often confuse punctuation prediction models, turning punctuation restoration into a challenging task. These errors usually take the form of homonyms. We show how retrofitting of
Externí odkaz:
http://arxiv.org/abs/2004.05985
Autor:
Mizgajski, Jan, Szymczak, Adrian, Głowski, Robert, Szymański, Piotr, Żelasko, Piotr, Augustyniak, Łukasz, Morzy, Mikołaj, Carmiel, Yishay, Hodson, Jeff, Wójciak, Łukasz, Smoczyk, Daniel, Wróbel, Adam, Borowik, Bartosz, Artajew, Adam, Baran, Marcin, Kwiatkowski, Cezary, Żyła-Hoppe, Marzena
Avaya Conversational Intelligence(ACI) is an end-to-end, cloud-based solution for real-time Spoken Language Understanding for call centers. It combines large vocabulary, real-time speech recognition, transcript refinement, and entity and intent recog
Externí odkaz:
http://arxiv.org/abs/1909.02851
Autor:
Żelasko, Piotr, Mizgajski, Jan, Morzy, Mikołaj, Szymczak, Adrian, Szymański, Piotr, Augustyniak, Łukasz, Carmiel, Yishay
In this paper, we present a method for correcting automatic speech recognition (ASR) errors using a finite state transducer (FST) intent recognition framework. Intent recognition is a powerful technique for dialog flow management in turn-oriented, hu
Externí odkaz:
http://arxiv.org/abs/1908.07888
Autor:
Żelasko, Piotr, Szymański, Piotr, Mizgajski, Jan, Szymczak, Adrian, Carmiel, Yishay, Dehak, Najim
An ASR system usually does not predict any punctuation or capitalization. Lack of punctuation causes problems in result presentation and confuses both the human reader andoff-the-shelf natural language processing algorithms. To overcome these limitat
Externí odkaz:
http://arxiv.org/abs/1807.00543
Autor:
Mizgajski, Jan, Mizgajski, Andrzej
Publikováno v:
Rozwój Regionalny i Polityka Regionalna / Regional Development and Regional Policy. 58(1):73-92
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1126811
Autor:
Mizgajski Jan, Szymczak Adrian, Morzy Mikołaj, Augustyniak Łukasz, Szymański Piotr, Żelasko Piotr
Publikováno v:
Foundations of Computing and Decision Sciences, Vol 45, Iss 4, Pp 281-304 (2020)
Academia remains the central place of machine learning education. While academic culture is the predominant factor influencing the way we teach machine learning to students, many practitioners question this culture, claiming the lack of alignment bet
Externí odkaz:
https://doaj.org/article/8a1e5d9b462a4b9c97741c8bc364eeba
Autor:
Mizgajski, Jan1 (AUTHOR) mizgajski.jan@gmail.com, Morzy, Mikołaj2 (AUTHOR) mikolaj.morzy@put.poznan.pl
Publikováno v:
User Modeling & User-Adapted Interaction. Apr2019, Vol. 29 Issue 2, p345-379. 35p.
Autor:
Szyma��ski, Piotr, ��elasko, Piotr, Morzy, Mikolaj, Szymczak, Adrian, ��y��a-Hoppe, Marzena, Banaszczak, Joanna, Augustyniak, Lukasz, Mizgajski, Jan, Carmiel, Yishay
Natural language processing of conversational speech requires the availability of high-quality transcripts. In this paper, we express our skepticism towards the recent reports of very low Word Error Rates (WERs) achieved by modern Automatic Speech Re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f312871511d30966ab38b19be12440d5
Autor:
Mizgajski, Jan T.1 jan.mizgajski@ue.poznan.pl
Publikováno v:
Folia Oeconomica Stetinensia. 2012, Issue 1, p152-164. 13p. 1 Diagram, 2 Graphs, 1 Map.