Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Soo-Young Suk"'
Publikováno v:
RSC Advances. 12:32552-32556
Carbide-based MAX phases, titanium silicon carbide (Ti3SiC2), were synthesized with biomass wastes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28c8d93a366b6e4cec818d3c0ce4654b
https://doi.org/10.1039/d2ra06078g
https://doi.org/10.1039/d2ra06078g
Autor:
Hiroaki Kojima, Soo-Young Suk
Publikováno v:
Speech Recognition
People with severe speech and motor impairment due to cerebral palsy are great difficult to move independently and also cannot control home electric devices. Computer has much to offer people with disability, but the standard human-machine interface
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::414a0d411c71abf37c90ac69957f65fc
http://www.intechopen.com/articles/show/title/voice_activated_appliances_for_severely_disabled_persons
http://www.intechopen.com/articles/show/title/voice_activated_appliances_for_severely_disabled_persons
Publikováno v:
IEMEK Journal of Embedded Systems and Applications. 10:65-71
It has been known that GMM (Gaussian Mixture Model) based speaker identification systems using ML (Maximum Likelihood) and WMR (Weighting Model Rank) demonstrate very high performances. However, such systems are not so effective under practical envir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caf845f4cf41549d30e7278ae55b60d2
https://doi.org/10.14372/iemek.2015.10.2.65
https://doi.org/10.14372/iemek.2015.10.2.65
Publikováno v:
IEICE Electronics Express. 7:1099-1105
The difference between training and testing environments is the major reason of performance degradation of speech recognition. In this paper, to further decrease the mismatch, we apply temporal filtering, Auto-Regression and Moving-Average (ARMA) fil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65ee36e18d4614d8d73369aefe35d23d
https://doi.org/10.1587/elex.7.1099
https://doi.org/10.1587/elex.7.1099
Autor:
Hyun-Yeol Chung, Soo-Young Suk
Publikováno v:
International Journal of Pervasive Computing and Communications. 4:232-249
PurposeThe purpose of this paper is to describe a speech and character combined recognition engine (SCCRE) developed for working on personal digital assistants (PDAs) or on mobile devices. Also, the architecture of a distributed recognition system fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f451bd3746eafbecd5fa874557ebfe20
https://doi.org/10.1108/17427370810890409
https://doi.org/10.1108/17427370810890409
Autor:
Soo-Young Suk, Hiroaki Kojima
Publikováno v:
IEICE Electronics Express. 4:569-574
In this paper, we consider that non-voice inputs such as coughing and breathing and spark-like mechanical noise should be rejected and that the system must recognize speech commands affected by disability, including specific pronunciation speed and f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75b29baad9f681ba5070de02eacf3e07
https://doi.org/10.1587/elex.4.569
https://doi.org/10.1587/elex.4.569
Autor:
Soo-Young Suk, Hiroaki Kojima
Publikováno v:
Interspeech 2009.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4de6ee903060f29654b45f81577b3668
https://doi.org/10.21437/interspeech.2009-436
https://doi.org/10.21437/interspeech.2009-436
Publikováno v:
Interspeech 2009.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd3f9c3c10da27a69352a93d8c44e7fd
https://doi.org/10.21437/interspeech.2009-365
https://doi.org/10.21437/interspeech.2009-365
Autor:
Soo-Young Suk, Hiroaki Kojima
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae920d79464d3903a464b1c4e93b49bd
https://doi.org/10.21437/interspeech.2007-675
https://doi.org/10.21437/interspeech.2007-675
Publikováno v:
Embedded and Ubiquitous Computing ISBN: 9783540366799
EUC
EUC
A Speech and Character Combined Recognition Engine (SCCRE) is developed for working on Personal Digital Assistants (PDA) or on mobile devices. In SCCRE, feature extraction from speech and character is carried out separately, but recognition is perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0eedfd041a71a1682a73e24ee3aca8a7
https://doi.org/10.1007/11802167_56
https://doi.org/10.1007/11802167_56