本文言語 | English |
---|---|
論文番号 | 8887564 |
ページ(範囲) | 111-124 |
ページ数 | 14 |
ジャーナル | IEEE Signal Processing Magazine |
巻 | 36 |
号 | 6 |
DOI | |
出版ステータス | Published - 2019 11月 |
外部発表 | はい |
ASJC Scopus subject areas
- 信号処理
- 電子工学および電気工学
- 応用数学
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Speech Processing for Digital Home Assistants : Combining signal processing with deep-learning techniques. / Haeb-Umbach, Reinhold; Watanabe, Shinji; Nakatani, Tomohiro その他.
In: IEEE Signal Processing Magazine, Vol. 36, No. 6, 8887564, 11.2019, p. 111-124.研究成果: Review article › 査読
}
TY - JOUR
T1 - Speech Processing for Digital Home Assistants
T2 - Combining signal processing with deep-learning techniques
AU - Haeb-Umbach, Reinhold
AU - Watanabe, Shinji
AU - Nakatani, Tomohiro
AU - Bacchiani, Michiel
AU - Hoffmeister, Bjorn
AU - Seltzer, Michael L.
AU - Zen, Heiga
AU - Souden, Mehrez
N1 - Funding Information: Mehrez Souden (msouden@apple.com) received his Ph.D. and M.Sc. degrees from the Institut National de la Recherche Scientifique, University of Québec, Montréal, Canada, in 2010 and 2006, respectively. Currently, he is a senior audio and speech processing engineer with Interactive Media Group, Apple Inc. He was with the Nippon Telegraph and Telephone Communication Science Laboratories, Kyoto, Japan, from 2010 to 2012; the School of Electrical and Computer Engineering, the Georgia Institute of Technology, Atlanta, from 2013 to 2014; and the Intel Corporation from 2014 to 2015. In 2016, he joined Apple Inc. to work on signal processing and machine learning with an emphasis on acoustics and speech. He has published more than 50 papers. He received the Alexander Graham Bell Canada Graduate Scholarship and a postdoctoral fellowship, both from the National Sciences and Engineering Research Council, in 2008 and 2013, respectively.
PY - 2019/11
Y1 - 2019/11
UR - http://www.scopus.com/inward/record.url?scp=85074474185&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85074474185&partnerID=8YFLogxK
U2 - 10.1109/MSP.2019.2918706
DO - 10.1109/MSP.2019.2918706
M3 - Review article
AN - SCOPUS:85074474185
VL - 36
SP - 111
EP - 124
JO - IEEE Acoustics, Speech, and Signal Processing Newsletter
JF - IEEE Acoustics, Speech, and Signal Processing Newsletter
SN - 1053-5888
IS - 6
M1 - 8887564
ER -