{"title":"统计信号映射:语音信号处理的通用工具","authors":"Y.M. Cheng, D. O'Shaughnessy, P. Mermelstein","doi":"10.1109/SSAP.1992.246878","DOIUrl":null,"url":null,"abstract":"Various forms of speech processing in practice take, or can be transformed to, the same form of input/output, and the relation of input/output generally can be expressed by a nonlinear function. This paper proposes a framework for identifying statistically the non-linear function concerning the statistical nature of speech. It demonstrates the applicability of this framework in a particular context, that of speech recovery.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Statistical signal mapping: a general tool for speech signal processing\",\"authors\":\"Y.M. Cheng, D. O'Shaughnessy, P. Mermelstein\",\"doi\":\"10.1109/SSAP.1992.246878\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Various forms of speech processing in practice take, or can be transformed to, the same form of input/output, and the relation of input/output generally can be expressed by a nonlinear function. This paper proposes a framework for identifying statistically the non-linear function concerning the statistical nature of speech. It demonstrates the applicability of this framework in a particular context, that of speech recovery.<<ETX>>\",\"PeriodicalId\":309407,\"journal\":{\"name\":\"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSAP.1992.246878\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSAP.1992.246878","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical signal mapping: a general tool for speech signal processing
Various forms of speech processing in practice take, or can be transformed to, the same form of input/output, and the relation of input/output generally can be expressed by a nonlinear function. This paper proposes a framework for identifying statistically the non-linear function concerning the statistical nature of speech. It demonstrates the applicability of this framework in a particular context, that of speech recovery.<>