{"title":"语音识别中的三字模持续时间建模","authors":"Yun Tang, Wenju Liu, Bo Xu","doi":"10.1109/CHINSL.2004.1409627","DOIUrl":null,"url":null,"abstract":"Rate of speech (ROS) is a very important factor in speech recognition. We present a new speech rate measurement method which first normalizes the duration of different acoustic units to a standard duration and then builds a trigram duration model to measure the speech rate of a sentence. We propose two methods based on the standard duration to compensate the influence introduced by speech rate variation in a data corpus and get 11% error rate reduction in Mandarin digit string recognition.","PeriodicalId":212562,"journal":{"name":"2004 International Symposium on Chinese Spoken Language Processing","volume":" 7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Trigram duration modeling in speech recognition\",\"authors\":\"Yun Tang, Wenju Liu, Bo Xu\",\"doi\":\"10.1109/CHINSL.2004.1409627\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Rate of speech (ROS) is a very important factor in speech recognition. We present a new speech rate measurement method which first normalizes the duration of different acoustic units to a standard duration and then builds a trigram duration model to measure the speech rate of a sentence. We propose two methods based on the standard duration to compensate the influence introduced by speech rate variation in a data corpus and get 11% error rate reduction in Mandarin digit string recognition.\",\"PeriodicalId\":212562,\"journal\":{\"name\":\"2004 International Symposium on Chinese Spoken Language Processing\",\"volume\":\" 7\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2004 International Symposium on Chinese Spoken Language Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CHINSL.2004.1409627\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 International Symposium on Chinese Spoken Language Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CHINSL.2004.1409627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rate of speech (ROS) is a very important factor in speech recognition. We present a new speech rate measurement method which first normalizes the duration of different acoustic units to a standard duration and then builds a trigram duration model to measure the speech rate of a sentence. We propose two methods based on the standard duration to compensate the influence introduced by speech rate variation in a data corpus and get 11% error rate reduction in Mandarin digit string recognition.
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