{"id":398984,"date":"2017-07-11T12:35:03","date_gmt":"2017-07-11T19:35:03","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?post_type=msr-research-item&#038;p=398984"},"modified":"2018-10-16T20:15:46","modified_gmt":"2018-10-17T03:15:46","slug":"effect-reference-set-selection-speaker-dependent-speech-recognition","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/effect-reference-set-selection-speaker-dependent-speech-recognition\/","title":{"rendered":"Effect of reference set selection on speaker dependent speech recognition"},"content":{"rendered":"<div class=\"container-fluid body-content\">\n<article class=\"author-page\" data-bind=\"page: {\n         id: 'detail',\n         sourceCache: true,\n         sourceOnShow: 'app\/pages\/detail.cshtml',\n         params: { id: '' }\n     }\"><\/p>\n<div class=\"id-wrapper\" data-bind=\"page: { id: '?', beforeShow: detailPage.beforeDetailPageShown, params: ['jump'] }\">\n<div class=\"pure-g container entity-detail profile-page\">\n<article class=\"container profile-page detail\">\n<section class=\"left-right-comp detail-top\">\n<div class=\"profile-card card paper\">\n<div class=\"pure-g\">\n<div class=\"pure-u-1 pure-u-md-7-8 profile-content\">\n<div>\n<section class=\"paper-abstract\" data-bind=\"with: data.abstract\">\n<p data-bind=\"text: $data\">Presented here for a speaker dependent system, is an algorithm which chooses a reference template for each word in the vocabulary from a set of N exemplars. The goal of the algorithm is to produce a reference set that minimizes the worst matching behavior and total error over the N sets of exemplars. The results of the experiments presented here show a reduction in the average error rate from 16.4% to 10.2% over a set of 4 male speakers and 4 female speakers.<\/p>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/article>\n<\/div>\n<\/div>\n<\/article>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Presented here for a speaker dependent system, is an algorithm which chooses a reference template for each word in the vocabulary from a set of N exemplars. The goal of the algorithm is to produce a reference set that minimizes the worst matching behavior and total error over the N sets of exemplars. 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