In this paper, we provide a new voice recognition framework which allows K-12 students to write programs to solve problems using voice control. The framework contains the voice recognition module SPHINX which is based on an open source machine learning tool developed by Carnegie Mellon University and a wrapper function which is written in C/C++ interpreter Ch. The wrapper function allows students to interact the module in Ch. Along with Ch programming and robotic coursework, students will get the chance to learn the basic concept of machine learning and voice recognition technique. In order to bring students attention and interest in machine learning, various tasks have been designed for students to accomplish based on the framework. The framework is also flexible for them to explore other interesting projects.
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ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 6–9, 2017
Cleveland, Ohio, USA
Conference Sponsors:
- Design Engineering Division
- Computers and Information in Engineering Division
ISBN:
978-0-7918-5823-3
PROCEEDINGS PAPER
Voice Recognition for STEM Education Using Robotics
Shubo Chen,
Shubo Chen
University of California, Davis, Davis, CA
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Binsen Qian,
Binsen Qian
University of California, Davis, Davis, CA
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Harry Cheng
Harry Cheng
University of California, Davis, Davis, CA
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Shubo Chen
University of California, Davis, Davis, CA
Binsen Qian
University of California, Davis, Davis, CA
Harry Cheng
University of California, Davis, Davis, CA
Paper No:
DETC2017-68368, V009T07A056; 6 pages
Published Online:
November 3, 2017
Citation
Chen, S, Qian, B, & Cheng, H. "Voice Recognition for STEM Education Using Robotics." Proceedings of the ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 9: 13th ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications. Cleveland, Ohio, USA. August 6–9, 2017. V009T07A056. ASME. https://doi.org/10.1115/DETC2017-68368
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