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1
Using Self-learning Representations for Objective Assessmen..:
, In:
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
,
Dang, Shaoxiang
;
Matsumoto, Tetsuya
;
Takeuchi, Yoshinori
... - p. 359-363 , 2022
Link:
https://doi.org/10.23919/APSIPAASC55919.2022.9980071
RT T1 <cTitle>2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)</cTitle>: T1 <Title>Using Self-learning Representations for Objective Assessment of Patient Voice in Dysphonia</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9980071&Exemplar=1&LAN=DE A1 Dang, Shaoxiang A1 Matsumoto, Tetsuya A1 Takeuchi, Yoshinori A1 Kudo, Hiroaki A1 Tsuboi, Takashi A1 Tanaka, Yasuhiro A1 Katsuno, Masahisa YR 2022 SN 2640-0103 K1 Training K1 Deep learning K1 Pathology K1 Neural networks K1 Self-supervised learning K1 Information processing K1 Feature extraction SP 359 OP 363 LK http://dx.doi.org/https://doi.org/10.23919/APSIPAASC55919.2022.9980071 DO https://doi.org/10.23919/APSIPAASC55919.2022.9980071 SF ELIB - SuUB Bremen
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