Zobrazeno 1 - 10
of 74
pro vyhledávání: '"HAYAMIZU, Satoru"'
Autor:
Nakamura, Manato, Hayamizu, Satoru, Masanori, Hattori, Fuseya, Takafumi, Iwamatsu, Hidetoshi, Terada, Kazunori
Publikováno v:
Procedia Computer Science; 2024, Vol. 246, p820-829, 10p
Autor:
MATSUBARA, Shigeki, NAKAIWA, Hiromi, KOMAIMIZU, Takahiro, SUZUKI, Yu, IDE, Ichiro, NISHIMURA, Norihiro, HAYAMIZU, Satoru, TAKEDA, Kazuya
Publikováno v:
電子情報通信学会技術研究報告 : 教育工学（ET）. 122(431):117-127
データサイエンス人材育成を大学連携で推進するための共通ガイドラインの作成とその実践について述べる。このガイドラインは、実データを用いてグループワークで課題を解決する実
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::bac1f21a0683678d4bc37f80bb5f5014
https://nagoya.repo.nii.ac.jp/records/2005072
https://nagoya.repo.nii.ac.jp/records/2005072
Autor:
Tamura, Satoshi, Ninomiya, Hiroshi, Kitaoka, Norihide, Osuga, Shin, Iribe, Yurie, Takeda, Kazuya, Hayamizu, Satoru
Publikováno v:
IEICE Transactions on Information and Systems. (10):2444-2451
Audio-Visual Speech Recognition (AVSR) is one of techniques to enhance robustness of speech recognizer in noisy or real environments. On the other hand, Deep Neural Networks (DNNs) have recently attracted a lot of attentions of researchers in the spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::3c13978dab85f67830b11bd6a8559b19
http://repo.lib.tokushima-u.ac.jp/110586
http://repo.lib.tokushima-u.ac.jp/110586
Publikováno v:
Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. :829-832
APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Poster session: Image, Video, and Multimedia Signal Processing 3 (7 October 2009).
This paper inves
This paper inves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::311ba11047db256a7a55e7624355206e
http://hdl.handle.net/2115/39816
http://hdl.handle.net/2115/39816
Publikováno v:
In Pattern Recognition Letters 1 October 2013 34(13):1485-1489
Confidence estimation and keyword extraction from speech recognition result based on Web information
Publikováno v:
APSIPA
This paper proposes to use Web information for confidence measure and to extract keywords for speech recognition results. Spoken document processing has been attracting attention particularly for information retrieval and video (audiovisual) content
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e79b84d3c7fc58f1b006e0bf2b1e2979
https://doi.org/10.1109/apsipa.2013.6694114
https://doi.org/10.1109/apsipa.2013.6694114
"This paper provides a description of the acoustic variations of speech and its application to a speech recognition system using hidden Markov models. There are many sources of variabilities that affect the realization of a phoneme: phonetic contexts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c2cae00f3f433f61a364d4bbdc6417b
Publikováno v:
2015 23rd European Signal Processing Conference (EUSIPCO); 2015, p2291-2295, 5p
Autor:
Tamura, Satoshi, Ninomiya, Hiroshi, Kitaoka, Norihide, Osuga, Shin, Iribe, Yurie, Takeda, Kazuya, Hayamizu, Satoru
Publikováno v:
2015 Asia-Pacific Signal & Information Processing Association Annual Summit & Conference (APSIPA); 1/1/2015, p575-582, 8p
Publikováno v:
2014 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP); 2014, p7899-7903, 5p