{"title":"索引帧音频传输","authors":"J. Parker, Keith Chung","doi":"10.1145/1027527.1027618","DOIUrl":null,"url":null,"abstract":"Sending audio data over a computer network consumes a large amount of bandwidth, and so compression strategies are regularly built into audio file formats and transmission software. In some environments, the basic nature of the sound does not change significantly; for example, phone lines deal frequently with voice transmission. By matching input audio blocks against those in a table, we can transmit the table indices only, and audio can be synthesized at the receiving end by simple table look-up. This has a number of potentially interesting applications.","PeriodicalId":292207,"journal":{"name":"MULTIMEDIA '04","volume":"232 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Index-frame audio transmission\",\"authors\":\"J. Parker, Keith Chung\",\"doi\":\"10.1145/1027527.1027618\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sending audio data over a computer network consumes a large amount of bandwidth, and so compression strategies are regularly built into audio file formats and transmission software. In some environments, the basic nature of the sound does not change significantly; for example, phone lines deal frequently with voice transmission. By matching input audio blocks against those in a table, we can transmit the table indices only, and audio can be synthesized at the receiving end by simple table look-up. This has a number of potentially interesting applications.\",\"PeriodicalId\":292207,\"journal\":{\"name\":\"MULTIMEDIA '04\",\"volume\":\"232 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MULTIMEDIA '04\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1027527.1027618\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MULTIMEDIA '04","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1027527.1027618","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sending audio data over a computer network consumes a large amount of bandwidth, and so compression strategies are regularly built into audio file formats and transmission software. In some environments, the basic nature of the sound does not change significantly; for example, phone lines deal frequently with voice transmission. By matching input audio blocks against those in a table, we can transmit the table indices only, and audio can be synthesized at the receiving end by simple table look-up. This has a number of potentially interesting applications.
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