{"title":"评价为巴西葡萄牙语语音轮廓分析方案(BP-VPAS)设计的语音样本","authors":"Z. Camargo, S. Madureira, L. C. Rusilo","doi":"10.36505/exling-2011/04/0012/000181","DOIUrl":null,"url":null,"abstract":"The present study aims at evaluating a corpus designed for voice quality settings analysis (Laver, 1980). It addresses the role of keyspeech segments for the identification of voice quality settings. The corpus, recorded by 60 speakers, contained repetitions of 10 keyspeech sentences, and semi-spontaneous speech samples. These samples were evaluated by two expert subjects according to the BP-VPAS Profile (Camargo, Madureira, 2008). These data were analyzed by means of an artificial neural network and statistically by multiple regression analysis. The data reinforce the importance of the description of voice quality based on the phonetic model and the relevant role of keyspeech segments.","PeriodicalId":447857,"journal":{"name":"ISCA Tutorial and Research Workshop on Experimental Linguistics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Evaluating speech samples designed for the Voice Profile Analysis Scheme for Brazilian Portuguese (BP-VPAS)\",\"authors\":\"Z. Camargo, S. Madureira, L. C. Rusilo\",\"doi\":\"10.36505/exling-2011/04/0012/000181\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present study aims at evaluating a corpus designed for voice quality settings analysis (Laver, 1980). It addresses the role of keyspeech segments for the identification of voice quality settings. The corpus, recorded by 60 speakers, contained repetitions of 10 keyspeech sentences, and semi-spontaneous speech samples. These samples were evaluated by two expert subjects according to the BP-VPAS Profile (Camargo, Madureira, 2008). These data were analyzed by means of an artificial neural network and statistically by multiple regression analysis. The data reinforce the importance of the description of voice quality based on the phonetic model and the relevant role of keyspeech segments.\",\"PeriodicalId\":447857,\"journal\":{\"name\":\"ISCA Tutorial and Research Workshop on Experimental Linguistics\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISCA Tutorial and Research Workshop on Experimental Linguistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36505/exling-2011/04/0012/000181\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISCA Tutorial and Research Workshop on Experimental Linguistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36505/exling-2011/04/0012/000181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluating speech samples designed for the Voice Profile Analysis Scheme for Brazilian Portuguese (BP-VPAS)
The present study aims at evaluating a corpus designed for voice quality settings analysis (Laver, 1980). It addresses the role of keyspeech segments for the identification of voice quality settings. The corpus, recorded by 60 speakers, contained repetitions of 10 keyspeech sentences, and semi-spontaneous speech samples. These samples were evaluated by two expert subjects according to the BP-VPAS Profile (Camargo, Madureira, 2008). These data were analyzed by means of an artificial neural network and statistically by multiple regression analysis. The data reinforce the importance of the description of voice quality based on the phonetic model and the relevant role of keyspeech segments.
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