{"title":"用客观度量方法估计带水印音频信号的质量","authors":"K. Kondo","doi":"10.1109/IIH-MSP.2013.78","DOIUrl":null,"url":null,"abstract":"This paper compares two objective audio quality assessment measures calculated for three watermark methods with its corresponding subjective quality. The aim was to see if these measures could be used to estimate the subjective audio quality with various watermarks. Samples were watermarked with the LSB substitution, the direct spread-spectrum, and the echo hiding methods. The objective scores were calculated using peaqb, an implementation of the ITU-R BS.1387-1 standard, and PEMO-Q. PEMO-Q showed significantly higher correlation, about 0.90 compared to peaqb. Initial quality estimation tests were also conducted, where regression from objective score to the subjective score of one watermark (e.g. LSB) was estimated, and this regression was used to estimate the subjective score of another watermark method (e.g. spread-spectrum) from its objective score. PEMO-Q showed higher estimation accuracy, with Root Mean Square Error (RMSE) of about 11%.","PeriodicalId":105427,"journal":{"name":"2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Towards Estimation of Quality of Watermarked Audio Signal Using Objective Measures\",\"authors\":\"K. Kondo\",\"doi\":\"10.1109/IIH-MSP.2013.78\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper compares two objective audio quality assessment measures calculated for three watermark methods with its corresponding subjective quality. The aim was to see if these measures could be used to estimate the subjective audio quality with various watermarks. Samples were watermarked with the LSB substitution, the direct spread-spectrum, and the echo hiding methods. The objective scores were calculated using peaqb, an implementation of the ITU-R BS.1387-1 standard, and PEMO-Q. PEMO-Q showed significantly higher correlation, about 0.90 compared to peaqb. Initial quality estimation tests were also conducted, where regression from objective score to the subjective score of one watermark (e.g. LSB) was estimated, and this regression was used to estimate the subjective score of another watermark method (e.g. spread-spectrum) from its objective score. PEMO-Q showed higher estimation accuracy, with Root Mean Square Error (RMSE) of about 11%.\",\"PeriodicalId\":105427,\"journal\":{\"name\":\"2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIH-MSP.2013.78\",\"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 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIH-MSP.2013.78","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards Estimation of Quality of Watermarked Audio Signal Using Objective Measures
This paper compares two objective audio quality assessment measures calculated for three watermark methods with its corresponding subjective quality. The aim was to see if these measures could be used to estimate the subjective audio quality with various watermarks. Samples were watermarked with the LSB substitution, the direct spread-spectrum, and the echo hiding methods. The objective scores were calculated using peaqb, an implementation of the ITU-R BS.1387-1 standard, and PEMO-Q. PEMO-Q showed significantly higher correlation, about 0.90 compared to peaqb. Initial quality estimation tests were also conducted, where regression from objective score to the subjective score of one watermark (e.g. LSB) was estimated, and this regression was used to estimate the subjective score of another watermark method (e.g. spread-spectrum) from its objective score. PEMO-Q showed higher estimation accuracy, with Root Mean Square Error (RMSE) of about 11%.