ASSISLT: Computer-aided speech therapy tool

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F22%3A00561607" target="_blank" >RIV/67985556:_____/22:00561607 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.23919/EUSIPCO55093.2022.9909627" target="_blank" >http://dx.doi.org/10.23919/EUSIPCO55093.2022.9909627</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.23919/EUSIPCO55093.2022.9909627" target="_blank" >10.23919/EUSIPCO55093.2022.9909627</a>

Result language

angličtina

Original language name

ASSISLT: Computer-aided speech therapy tool

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/TJ01000181" target="_blank" >TJ01000181: ASSISLT - Automated Software System in Speech-language Therapy</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Signal Processing : A publication of the European Association for Signal Processing (EURASIP)

ISBN

978-1-6654-6798-8

ISSN

—

e-ISSN

—

Number of pages

5

Pages from-to

598-602

Publisher name

European Association for Signal Processing (EURASIP)

Place of publication

Bern

Event location

Bělehrad

Event date

Aug 29, 2022

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

000918827600119