Speak to Action: Offline and Hybrid Language Recognition on Embedded Board for Smart Control System

Aanand P. Pant, Kun Ru Wu, Yu Chee Tseng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the rise of Artificial Intelligence and Internet of Things, more and more applications are designed to bring benefit for our daily life. Voice is an easily generated input method by human. The process of converting voice into text is speech recognition. Online tools could provide high accuracy for speech recognition. In some applications, e.g., factory, Internet is forbidden and the number of specific voice commands are limited. It becomes necessary to be able to perform speech recognition in real-time on the embedded devices without having the need to send to the remote servers. In this paper, we enhance a speech-to-text framework (PocketSphinx) on embedded devices, i.e. Raspberry PI. The enhanced PocketSphinx can execute speech-to-text on embedded devices without Internet. Moreover, it can also recognize hybrid language (English and Chinese) to control a IoT or ROS-based device.

Original languageEnglish
Title of host publicationProceedings - 2020 International Computer Symposium, ICS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages85-90
Number of pages6
ISBN (Electronic)9781728192550
DOIs
StatePublished - Dec 2020
Event2020 International Computer Symposium, ICS 2020 - Tainan, Taiwan
Duration: 17 Dec 202019 Dec 2020

Publication series

NameProceedings - 2020 International Computer Symposium, ICS 2020

Conference

Conference2020 International Computer Symposium, ICS 2020
CountryTaiwan
CityTainan
Period17/12/2019/12/20

Keywords

  • hybrid language
  • IoT
  • offline
  • PocketSphinx
  • speech recognition

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