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 |
|
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 |
|