Voice trigger system using fuzzy logic

Erez Manor, Shlomo Greenberg

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

4 Scopus citations

Abstract

In this paper, we propose a voice trigger system using a keyword-dependent speaker recognition technique. The voice trigger system must be able to perform keyword recognition, as well as speaker recognition, without using computationally demanding speech recognizer, to properly trigger a mobile device with low computational power consumption. This paper presents a fuzzy logic system to classify the speaker voice features. Experiments using a Hebrew word bank show that the fuzzy based method performs with low recognition error while highly minimizing the power and area footprint comparing to conventional methods.

Original languageEnglish
Title of host publication2017 International Conference on Circuits, System and Simulation, ICCSS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages113-118
Number of pages6
ISBN (Electronic)9781538603925
DOIs
StatePublished - 30 Aug 2017
Event2017 International Conference on Circuits, System and Simulation, ICCSS 2017 - London, United Kingdom
Duration: 14 Jul 201717 Jul 2017

Publication series

Name2017 International Conference on Circuits, System and Simulation, ICCSS 2017

Conference

Conference2017 International Conference on Circuits, System and Simulation, ICCSS 2017
Country/TerritoryUnited Kingdom
CityLondon
Period14/07/1717/07/17

Keywords

  • Fuzzy logic
  • Voice trigger
  • Voice verification

ASJC Scopus subject areas

  • Modeling and Simulation
  • Electrical and Electronic Engineering

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