0561607 20240103230906.320220927235959.9 85141010736 000918827600119 10.23919/EUSIPCO55093.2022.9909627 5 s. P cav_un_epca*0562306978-1-6654-6798-8598-602BernEuropean Association for Signal Processing (EURASIP)2022 medical imaging tongue detection lips detection speech cav_un_auth*0332672 Bílková Zuzana UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0312355 Bartoš Michal UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0370910 Dominec Adam UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0380013 Greško Šimon UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0283562 Novozámský Adam UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101238 Zitová Barbara UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0370909 Paroubková Markéta UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI CZ Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2022/ZOI/bilkova-0561607.pdf TJ01000181 GA TA ČR cav_un_auth*0369114 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. cav_un_auth*0436901 European Signal Processing Conference 20220829 20220902 Bělehrad RS JC 10000 10200 10201 2023 7 PO RVO:67985556 https://hdl.handle.net/11104/0334652 S n.a. Proceedings Paper Acoustics|Computer Science Software Engineering|Engineering Electrical Electronic|Imaging Science Photographic Technology|Telecommunications 2022 85141010736 SCOPUS PUBMED 000918827600119 WOS 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