Voice Response Questionnaire System for Speaker Recognition Using Biometric Authentication Interface  

作　　者：Chang-Yi Kao Hao-En Chueh 

机构地区：[1]Soochow University,Taipei City,100,Taiwan,China [2]Chung Yuan Christian University,Taoyuan City,32023,Taiwan,China

出　　处：《Intelligent Automation & Soft Computing》2023年第1期913-924,共12页智能自动化与软计算（英文）

摘　　要：The use of voice to perform biometric authentication is an importanttechnological development,because it is a non-invasive identification methodand does not require special hardware,so it is less likely to arouse user disgust.This study tries to apply the voice recognition technology to the speech-driveninteractive voice response questionnaire system aiming to upgrade the traditionalspeech system to an intelligent voice response questionnaire network so that thenew device may offer enterprises more precise data for customer relationshipmanagement(CRM).The intelligence-type voice response gadget is becominga new mobile channel at the current time,with functions of the questionnaireto be built in for the convenience of collecting information on local preferencesthat can be used for localized promotion and publicity.Authors of this study propose a framework using voice recognition and intelligent analysis models to identify target customers through voice messages gathered in the voice response questionnaire system;that is,transforming the traditional speech system to anintelligent voice complex.The speaker recognition system discussed hereemploys volume as the acoustic feature in endpoint detection as the computationload is usually low in this method.To correct two types of errors found in the endpoint detection practice because of ambient noise,this study suggests ways toimprove the situation.First,to reach high accuracy,this study follows a dynamictime warping(DTW)based method to gain speaker identification.Second,it isdevoted to avoiding any errors in endpoint detection by filtering noise from voicesignals before getting recognition and deleting any test utterances that might negatively affect the results of recognition.It is hoped that by so doing the recognitionrate is improved.According to the experimental results,the method proposed inthis research has a high recognition rate,whether it is on personal-level or industrial-level computers,and can reach the practical application standard.Therefore,the voice mana

关 键 词：Biometric authentication customer relationship management speaker recognition QUESTIONNAIRE 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]