bibtype C - Conference Paper (international conference)
ARLID 0561607
utime 20240103230906.3
mtime 20220927235959.9
SCOPUS 85141010736
WOS 000918827600119
DOI 10.23919/EUSIPCO55093.2022.9909627
title (primary) (eng) ASSISLT: Computer-aided speech therapy tool
specification
page_count 5 s.
media_type P
serial
ARLID cav_un_epca*0562306
ISBN 978-1-6654-6798-8
title Signal Processing : A publication of the European Association for Signal Processing (EURASIP)
page_num 598-602
publisher
place Bern
name European Association for Signal Processing (EURASIP)
year 2022
keyword medical imaging
keyword tongue detection
keyword lips detection
keyword speech
author (primary)
ARLID cav_un_auth*0332672
name1 Bílková
name2 Zuzana
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0312355
name1 Bartoš
name2 Michal
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0370910
name1 Dominec
name2 Adam
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0380013
name1 Greško
name2 Šimon
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0283562
name1 Novozámský
name2 Adam
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101238
name1 Zitová
name2 Barbara
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0370909
name1 Paroubková
name2 Markéta
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2022/ZOI/bilkova-0561607.pdf
cas_special
project
project_id TJ01000181
agency GA TA ČR
ARLID cav_un_auth*0369114
abstract (eng) This work proposes a new software system ASSISLT to support speech therapy for children and adults using deep learning approaches. The application offers an adjustable set of exercises recommended by a speech therapist and aims to motivate and help with regular home practice. Augmented reality is employed to lead the exercise moves and to appraise the effort. The core of the system is automatically evaluating exercises using a webcam and developing image processing and neural network methods for face, lips, teeth, and tongue detection. The pipeline is shown together with solutions of subtasks and with demonstrations of the functionality. The statistical validation of the ASSISLT is provided, comparing the performance of speech therapy specialists and the software.
action
ARLID cav_un_auth*0436901
name European Signal Processing Conference
dates 20220829
mrcbC20-s 20220902
place Bělehrad
country RS
RIV JC
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2023
num_of_auth 7
presentation_type PO
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0334652
confidential S
mrcbC86 n.a. Proceedings Paper Acoustics|Computer Science Software Engineering|Engineering Electrical Electronic|Imaging Science Photographic Technology|Telecommunications
arlyear 2022
mrcbU14 85141010736 SCOPUS
mrcbU24 PUBMED
mrcbU34 000918827600119 WOS
mrcbU63 cav_un_epca*0562306 Signal Processing : A publication of the European Association for Signal Processing (EURASIP) 978-1-6654-6798-8 598 602 Bern European Association for Signal Processing (EURASIP) 2022