{"title":"Perceptual evaluation of singing quality","authors":"Chitralekha Gupta, Haizhou Li, Ye Wang","doi":"10.1109/APSIPA.2017.8282110","DOIUrl":null,"url":null,"abstract":"A perceptually valid automatic singing evaluation score could serve as a complement to singing lessons, and make singing training more reachable to the masses. In this study, we adopt the idea behind PESQ (Perceptual Evaluation of Speech Quality) scoring metrics, and propose various perceptually relevant features to evaluate singing quality. We correlate the obtained singing quality score, which we term as Perceptual Evaluation of Singing Quality (PESnQ) score, with that given by music-expert human judges, and compare the results with the known baseline systems. It is shown that the proposed PESnQ has a correlation of 0.59 with human ratings, which is an improvement of ∼ 96% over baseline systems.","PeriodicalId":142091,"journal":{"name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSIPA.2017.8282110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 28
Abstract
A perceptually valid automatic singing evaluation score could serve as a complement to singing lessons, and make singing training more reachable to the masses. In this study, we adopt the idea behind PESQ (Perceptual Evaluation of Speech Quality) scoring metrics, and propose various perceptually relevant features to evaluate singing quality. We correlate the obtained singing quality score, which we term as Perceptual Evaluation of Singing Quality (PESnQ) score, with that given by music-expert human judges, and compare the results with the known baseline systems. It is shown that the proposed PESnQ has a correlation of 0.59 with human ratings, which is an improvement of ∼ 96% over baseline systems.
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