Zobrazeno 1 - 10
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pro vyhledávání: '"Gotoh, Yoshihiko"'
Lip motion accuracy is important for speech intelligibility, especially for users who are hard of hearing or second language learners. A high level of realism in lip movements is also required for the game and film production industries. 3D morphable
Externí odkaz:
http://arxiv.org/abs/2407.17253
Autor:
Gotoh, Yoshihiko, Renals, Steve
This paper discusses the development of trainable statistical models for extracting content from television and radio news broadcasts. In particular we concentrate on statistical finite state models for identifying proper names and other named entiti
Externí odkaz:
http://arxiv.org/abs/cs/0003084
Autor:
Gotoh, Yoshihiko, Renals, Steve
The rate of occurrence of words is not uniform but varies from document to document. Despite this observation, parameters for conventional n-gram language models are usually derived using the assumption of a constant word rate. In this paper we inves
Externí odkaz:
http://arxiv.org/abs/cs/0003081
Publikováno v:
In Information Sciences 10 May 2015 303:61-82
Autor:
Al Ghamdi, Manal1 (AUTHOR) maalghamdi@uqu.edu.sa, Gotoh, Yoshihiko2 (AUTHOR)
Publikováno v:
Machine Vision & Applications. Jul2020, Vol. 31 Issue 5, p1-20. 20p.
Autor:
Khan, Muhammad1 usmanghanikhan@gmail.com, Gotoh, Yoshihiko2 y.gotoh@dcs.shef.ac.uk
Publikováno v:
Machine Vision & Applications. May2017, Vol. 28 Issue 3/4, p243-265. 23p.
Publikováno v:
In Journal of Crystal Growth 2001 227:1073-1077
Autor:
Gotoh, Yoshihiko, Renals, Steve
Grammar-based natural language processing has reached a level where it can `understand' language to a limited degree in restricted domains. For example, it is possible to parse textual material very accurately and assign semantic relations to parts o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______463::b15c49fef5b5cee0cf2d325b640830d3
http://hdl.handle.net/1842/1134
http://hdl.handle.net/1842/1134
We have developed two conceptually different systems that are able to identify named entities from spoken audio. One (referred to as SPRACH-S) has a stochastic finite state machine structure for use with an acoustic model that identifies both words a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______463::5035afa6096898fe391e72a8a7f2d85e
http://hdl.handle.net/1842/1175
http://hdl.handle.net/1842/1175