{"title":"Vowel recognition with nonlinear perceptron","authors":"M. Grigore, I. Gavat","doi":"10.1109/SMICND.1996.557328","DOIUrl":null,"url":null,"abstract":"In this paper we propose a new method for vowel recognition. Using as parameters the first three formants frequencies of a large set of pronunciations, we trained a neural network (Nonlinear Perceptron) which can easily recognise other vowels.","PeriodicalId":266178,"journal":{"name":"1996 International Semiconductor Conference. 19th Edition. CAS'96 Proceedings","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 International Semiconductor Conference. 19th Edition. CAS'96 Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMICND.1996.557328","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In this paper we propose a new method for vowel recognition. Using as parameters the first three formants frequencies of a large set of pronunciations, we trained a neural network (Nonlinear Perceptron) which can easily recognise other vowels.