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FASTACCENTIDENTIFICATIONANDACCENTEDSPEECHRECOGNITION

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Abstract

Theperformanceofspeechrecognitionsystemsde-gradeswhenspeakeraccentisdierentfromthatinthe trainingset.Accent-independentoraccent-dependent recognitionbothrequirecollectionofmoretrainingdata. Inthispaper,weproposeafasteraccentclassica-tionapproachusingphoneme-classmodels.Wealso presentourndingsinacousticfeaturessensitivetoa Cantoneseaccent,andpossiblyotherAsianlanguage accents.Inaddition,weshowhowwecanrapidly transformanativeaccentpronunciationdictionaryto thatforaccentedspeechbysimplyusingknowledgeof thenativelanguageoftheforeignspeaker.Theuseof thisaccent-adapteddictionaryreducesrecognitioner-rorrateby13.5%,similartotheresultsobtainedfrom alonger,data-drivenprocess

Year: 2009
OAI identifier: oai:CiteSeerX.psu:10.1.1.134.5966
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