Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Nattanun Thatphithakkul"'
Publikováno v:
IEEE Access, Vol 8, Pp 86998-87010 (2020)
Removal Poisson noise poses a very challenging technical issue because it is difficult to capture noise characteristics. This induces from the fact that Poisson noises from different sources affect each image pixel proportional to the pixel level. Th
Externí odkaz:
https://doaj.org/article/6a767705039a4d6ab7836b6aa1fb595a
Autor:
Wuttipong Kumwilaisak, Peerawat Pannattee, Chatchawarn Hansakunbuntheung, Nattanun Thatphithakkul
Publikováno v:
APSIPA Transactions on Signal and Information Processing, Vol 11, Iss 1 (2022)
Externí odkaz:
https://doaj.org/article/44eb79d0fa0249f08d2ba86b16f4a9cf
Autor:
Nattanun Thatphithakkul, Boontee Kruatrachue, Chai Wutiwiwatchai, Sanparith Marukatat, Vataya Boonpiam
Publikováno v:
ASEAN Journal on Science and Technology for Development, Vol 24, Iss 4, Pp 339-352 (2017)
This paper proposes an efficient method of simulated-data adaptation for robust speech recognition. The method is applied to tree-structured piecewise linear transformation (PLT). The original PLT selects an acoustic model using tree-structured HMMs
Externí odkaz:
https://doaj.org/article/3ab89abf66b8405fa81433ba0736bb4e
Autor:
Warisara Asawaponwiput, Panyawut Sriiesaranusorn, Thawat Mohchit, Nattanun Thatphithakkul, Decho Surangsrirat
Publikováno v:
2022 IEEE International Conference on Agents (ICA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bd5825605c19f24cbc377b21ed47646
https://doi.org/10.1109/ica55837.2022.00018
https://doi.org/10.1109/ica55837.2022.00018
Publikováno v:
The 10th International Conference on Computer and Communications Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb474ed5ad558776d9e907d1b467f3bf
https://doi.org/10.1145/3556223.3556254
https://doi.org/10.1145/3556223.3556254
Autor:
Wuttipong Kumwilaisak, Chatchawarn Hansakunbuntheung, Peerawat Pannattee, Nattanun Thatphithakkul
Publikováno v:
2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
This paper presents a new method in fingerspelling recognition in highly dynamic video sequences. Sign language videos are labeled only in a video sequence level. A deep learning network extracts spatial features of video frames with the AlexNet and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5df655af88844b423cafcaf74cc354bc
https://doi.org/10.1109/ecti-con51831.2021.9454677
https://doi.org/10.1109/ecti-con51831.2021.9454677
Publikováno v:
Proceedings of the 8th International Conference on Computer and Communications Management.
To better assist people with hearing impairment in medical emergency, flexible multi-mode multi-party audio, video, and text conversations has become essential. We have developed a novel system for relayed communication service center to allow the mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a04108185bc159f4611c4441bea1752
https://doi.org/10.1145/3411174.3411192
https://doi.org/10.1145/3411174.3411192
Publikováno v:
2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
This paper presents a new perspective on the image denoising problem. The architecture of image denoising algorithm used in this paper is the Deep Convolutional Neural Networks (DCNN). Designing DCNN models relates tuning hyperparameters such as a nu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8c18960258281d60dc591b7fb4b0a51
https://doi.org/10.1109/ecti-con49241.2020.9158122
https://doi.org/10.1109/ecti-con49241.2020.9158122
Autor:
Vataya Boonpiam, Chai Wutiwiwatchai, Nattanun Thatphithakkul, Boontee Kruatrachue, Sanparith Marukatat
Publikováno v:
ASEAN Journal on Science and Technology for Development, Vol 24, Iss 4, Pp 339-352 (2017)
This paper proposes an efficient method of simulated-data adaptation for robust speech recognition. The method is applied to tree-structured piecewise linear transformation (PLT). The original PLT selects an acoustic model using tree-structured HMMs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab840f83275fc32816c56fae61c84499
http://www.ajstd.org/index.php/ajstd/article/view/209
http://www.ajstd.org/index.php/ajstd/article/view/209