Domain Specific Intelligent Personal Assistant with Bilingual Voice Command Processing

Saadman Shahid Chowdhury, Atiar Talukdar, Ashik Mahmud, Tanzilur Rahman

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

18 Scopus citations

Abstract

Intelligent Personal Assistants (IPA), like Siri and Alexa, are created to assist their users with simple digital tasks. Here, we propose the steps we have used to develop a voice operated IPA which can process direct commands in two languages: English and Bengali, to perform menial tasks for the users. The speech recognition engine of the IPA is constructed with Sphinx-4, and the language processing is performed by a modified finite state automaton. The IPA also takes advantage of the subject/action structure of commands to reduce the size of the word domain, and utilizes a generalization function to ensure that the language processor can understand multiple languages without undergoing major modification-making this approach suitable when training data is limited.

Original languageEnglish
Title of host publicationProceedings of TENCON 2018 - 2018 IEEE Region 10 Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages731-734
Number of pages4
ISBN (Electronic)9781538654576
DOIs
StatePublished - 2 Jul 2018
Externally publishedYes

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume2018-October
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Artificial Intelligence
  • Automated Speech Recognition
  • Digital Assistant
  • Finite State Automaton
  • Language Processing
  • Voice User Interface.

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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