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Predicting speech fluency in children using automatic acous..:
, In:
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
,
Fontan, Lionel
;
Kim, Shinyoung
;
De Fino, Verdiana
. - p. 1085-1090 , 2022
Link:
https://doi.org/10.23919/APSIPAASC55919.2022.9979884
RT T1 <cTitle>2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)</cTitle>: T1 <Title>Predicting speech fluency in children using automatic acoustic features</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9979884&Exemplar=1&LAN=DE A1 Fontan, Lionel A1 Kim, Shinyoung A1 De Fino, Verdiana A1 Detey, Sylvain YR 2022 SN 2640-0103 K1 Support vector machines K1 Linear regression K1 Information processing K1 Predictive models K1 Acoustic measurements K1 Prediction algorithms K1 Acoustics SP 1085 OP 1090 LK http://dx.doi.org/https://doi.org/10.23919/APSIPAASC55919.2022.9979884 DO https://doi.org/10.23919/APSIPAASC55919.2022.9979884 SF ELIB - SuUB Bremen
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