{"title":"Voice trigger system using fuzzy logic","authors":"E. Manor, S. Greenberg","doi":"10.1109/CIRSYSSIM.2017.8023193","DOIUrl":null,"url":null,"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.","PeriodicalId":342041,"journal":{"name":"2017 International Conference on Circuits, System and Simulation (ICCSS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Circuits, System and Simulation (ICCSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIRSYSSIM.2017.8023193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
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.