{"title":"Removal of Scratches and Impulsive Noise from Archive Gramophone Records","authors":"S. Vaseghi","doi":"10.1109/ASPAA.1991.634138","DOIUrl":null,"url":null,"abstract":"L Summary Algorithms are described for the removal of scratches and impulsive noise from archived gramophone tecordhgs. Both the impulsive and the: scratch removal methods are based on a detection-interpolation filtering scheme. This is motivated by the observation that scratches and impulsive noise corrupt only a fraction of the signal, and therefore it is advantageous to detect and locally process only those signal segments which are contaminated. This avoids unnecessary modification and compromise in the quality of noiseless samples. The noise detection and the signal interpolation methods are based on linear prediction Coding (LPC) modelling of acoustic audio signals.","PeriodicalId":146017,"journal":{"name":"Final Program and Paper Summaries 1991 IEEE ASSP Workshop on Applications of Signal Processing to Audio and Acoustics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Final Program and Paper Summaries 1991 IEEE ASSP Workshop on Applications of Signal Processing to Audio and Acoustics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPAA.1991.634138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
L Summary Algorithms are described for the removal of scratches and impulsive noise from archived gramophone tecordhgs. Both the impulsive and the: scratch removal methods are based on a detection-interpolation filtering scheme. This is motivated by the observation that scratches and impulsive noise corrupt only a fraction of the signal, and therefore it is advantageous to detect and locally process only those signal segments which are contaminated. This avoids unnecessary modification and compromise in the quality of noiseless samples. The noise detection and the signal interpolation methods are based on linear prediction Coding (LPC) modelling of acoustic audio signals.
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