I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
A New Method for Predicting Severity Level of Dysarthric Sp..:
, In:
2022 International Conference on Asian Language Processing (IALP)
,
Lu, Shangjun
;
Du, Xiaoxia
;
Liu, Juan
... - p. 190-195 , 2022
Link:
https://doi.org/10.1109/IALP57159.2022.9961300
RT T1
2022 International Conference on Asian Language Processing (IALP)
: T1
A New Method for Predicting Severity Level of Dysarthric Speech Based on Joint Feature-Sample Selection using Audio-Visual Data
UL https://suche.suub.uni-bremen.de/peid=ieee-9961300&Exemplar=1&LAN=DE A1 Lu, Shangjun A1 Du, Xiaoxia A1 Liu, Juan A1 Zhang, Yu-Mei A1 Zhao, Shaofeng A1 Su, Rongfeng A1 Wang, Lan A1 Yan, Nan YR 2022 K1 Databases K1 Computational modeling K1 Fitting K1 Predictive models K1 Data models K1 Noise measurement K1 Speech processing K1 Dysarthria K1 Severity level K1 Regression K1 Joint feature-sample selection SP 190 OP 195 LK http://dx.doi.org/https://doi.org/10.1109/IALP57159.2022.9961300 DO https://doi.org/10.1109/IALP57159.2022.9961300 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)