{"title":"有损压缩音频立体声图像的改进","authors":"M. Kimura, Atsushi Hotta","doi":"10.1109/GCCE.2013.6664935","DOIUrl":null,"url":null,"abstract":"We propose a method that gives improvements to stereophonic sound images of lossy compression audio signals. In our proposed method, AR prediction is used for estimating the difference between the signals of the left and right channel. We confirmed that the proposed method could restore a stereophonic sound image by a subjective evaluation.","PeriodicalId":294532,"journal":{"name":"2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Improvements in stereophonic sound images of lossy compression audio\",\"authors\":\"M. Kimura, Atsushi Hotta\",\"doi\":\"10.1109/GCCE.2013.6664935\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a method that gives improvements to stereophonic sound images of lossy compression audio signals. In our proposed method, AR prediction is used for estimating the difference between the signals of the left and right channel. We confirmed that the proposed method could restore a stereophonic sound image by a subjective evaluation.\",\"PeriodicalId\":294532,\"journal\":{\"name\":\"2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)\",\"volume\":\"91 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCCE.2013.6664935\",\"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 IEEE 2nd Global Conference on Consumer Electronics (GCCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2013.6664935","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improvements in stereophonic sound images of lossy compression audio
We propose a method that gives improvements to stereophonic sound images of lossy compression audio signals. In our proposed method, AR prediction is used for estimating the difference between the signals of the left and right channel. We confirmed that the proposed method could restore a stereophonic sound image by a subjective evaluation.