{"title":"An iterative interpolative transform method for modeling harmonic magnitudes","authors":"T. Ramabadran, A. Smith, M. Jasiuk","doi":"10.1109/SCW.2002.1215716","DOIUrl":null,"url":null,"abstract":"In this paper, we describe a method for modeling speech harmonic magnitudes, the accurate representation of which is essential for high quality speech synthesis in several parametric vocoders. The given set of harmonic magnitudes is interpolated and transformed into the auto-correlation domain before an all-pole model is derived. Through an iterative procedure, the interpolation curve used in the frequency domain is improved. This new iterative, interpolative, transform (IIT) method has been found to model the harmonic magnitudes more accurately than earlier methods when measured in terms of log-spectral distortion.","PeriodicalId":140750,"journal":{"name":"Speech Coding, 2002, IEEE Workshop Proceedings.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Speech Coding, 2002, IEEE Workshop Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCW.2002.1215716","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, we describe a method for modeling speech harmonic magnitudes, the accurate representation of which is essential for high quality speech synthesis in several parametric vocoders. The given set of harmonic magnitudes is interpolated and transformed into the auto-correlation domain before an all-pole model is derived. Through an iterative procedure, the interpolation curve used in the frequency domain is improved. This new iterative, interpolative, transform (IIT) method has been found to model the harmonic magnitudes more accurately than earlier methods when measured in terms of log-spectral distortion.