Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

A Training System for Speech Disordered Children Based on the Intel RealSense Technology

Authors
Boyu Si, Zhaoming Huang, Baodan Bai
Corresponding Author
Boyu Si
Available Online June 2017.
DOI
https://doi.org/10.2991/caai-17.2017.113How to use a DOI?
Keywords
speech rehabilitation; Intel realsense; human-machine interaction; speech recognition
Abstract
A training system for speech disordered children is presented in this research. The core technology includes face tracking and speech recognition, which are supplied by Intel RealSense SDK and its relative hardware, such as 3D camera F200. The system consists of the pronouncing learning module and the speech disorder training module. The former can help children patient with almost no speech ability learn the pronouncing motion and method in Mandarin initials and finals with real-time 3D image playback. The training module which is based on the cartoon games can intervene patients' abnormal voice onset, speech volume, speech tone and vowel confusion. With the help of the speech recognition function from Intel RealSense, it can make an immersed environment which is benefit for training.
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Proceedings
2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-360-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/caai-17.2017.113How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Boyu Si
AU  - Zhaoming Huang
AU  - Baodan Bai
PY  - 2017/06
DA  - 2017/06
TI  - A Training System for Speech Disordered Children Based on the Intel RealSense Technology
BT  - 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 504
EP  - 507
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.113
DO  - https://doi.org/10.2991/caai-17.2017.113
ID  - Si2017/06
ER  -