{"title":"元音共振峰的变或不变对数商模型","authors":"Xuewen Zhou","doi":"10.1109/IALP.2013.71","DOIUrl":null,"url":null,"abstract":"This paper studies relations of F1, F2, and F3 of vowels, spoken at reading speed by 3 speakers of 2 languages (Yi and Mandarin Chinese). The results show that vowel Formants keep stable relation of Logarithmic Quotient (Z value, Z1=log F2/log F1, Z2=log F3/log F2). The ratio of Standard deviation and Average keeps below 3% for most vowels. Varying degree keeps below 3% for different speakers. This paper proves that Logarithmic Quotient is an ideal vowel-normalizing model and has potential applications in speech recognition and speech comparison.","PeriodicalId":413833,"journal":{"name":"2013 International Conference on Asian Language Processing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Varying or Unvarying-Logarithmic Quotient Model of Vowel Formants\",\"authors\":\"Xuewen Zhou\",\"doi\":\"10.1109/IALP.2013.71\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies relations of F1, F2, and F3 of vowels, spoken at reading speed by 3 speakers of 2 languages (Yi and Mandarin Chinese). The results show that vowel Formants keep stable relation of Logarithmic Quotient (Z value, Z1=log F2/log F1, Z2=log F3/log F2). The ratio of Standard deviation and Average keeps below 3% for most vowels. Varying degree keeps below 3% for different speakers. This paper proves that Logarithmic Quotient is an ideal vowel-normalizing model and has potential applications in speech recognition and speech comparison.\",\"PeriodicalId\":413833,\"journal\":{\"name\":\"2013 International Conference on Asian Language Processing\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Asian Language Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IALP.2013.71\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Asian Language Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IALP.2013.71","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Varying or Unvarying-Logarithmic Quotient Model of Vowel Formants
This paper studies relations of F1, F2, and F3 of vowels, spoken at reading speed by 3 speakers of 2 languages (Yi and Mandarin Chinese). The results show that vowel Formants keep stable relation of Logarithmic Quotient (Z value, Z1=log F2/log F1, Z2=log F3/log F2). The ratio of Standard deviation and Average keeps below 3% for most vowels. Varying degree keeps below 3% for different speakers. This paper proves that Logarithmic Quotient is an ideal vowel-normalizing model and has potential applications in speech recognition and speech comparison.