{"title":"感知语音质量客观估计的研究进展","authors":"S. Voran","doi":"10.1109/SCFT.1999.781510","DOIUrl":null,"url":null,"abstract":"We present two techniques that can be used to enhance objective estimators of perceived speech quality. Frame normalization and frame-energy plane partitioning are described and applied to a log-spectral-error-based estimator. The resulting estimators are compared with each other and with two established estimators. This is done through correlation with MOS values from 17 formal subjective tests. We find that the proposed techniques significantly improve the log-spectral-error-based estimator.","PeriodicalId":372569,"journal":{"name":"1999 IEEE Workshop on Speech Coding Proceedings. Model, Coders, and Error Criteria (Cat. No.99EX351)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"42","resultStr":"{\"title\":\"Advances in objective estimation of perceived speech quality\",\"authors\":\"S. Voran\",\"doi\":\"10.1109/SCFT.1999.781510\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present two techniques that can be used to enhance objective estimators of perceived speech quality. Frame normalization and frame-energy plane partitioning are described and applied to a log-spectral-error-based estimator. The resulting estimators are compared with each other and with two established estimators. This is done through correlation with MOS values from 17 formal subjective tests. We find that the proposed techniques significantly improve the log-spectral-error-based estimator.\",\"PeriodicalId\":372569,\"journal\":{\"name\":\"1999 IEEE Workshop on Speech Coding Proceedings. Model, Coders, and Error Criteria (Cat. No.99EX351)\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"42\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 IEEE Workshop on Speech Coding Proceedings. Model, Coders, and Error Criteria (Cat. No.99EX351)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCFT.1999.781510\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 IEEE Workshop on Speech Coding Proceedings. Model, Coders, and Error Criteria (Cat. No.99EX351)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCFT.1999.781510","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Advances in objective estimation of perceived speech quality
We present two techniques that can be used to enhance objective estimators of perceived speech quality. Frame normalization and frame-energy plane partitioning are described and applied to a log-spectral-error-based estimator. The resulting estimators are compared with each other and with two established estimators. This is done through correlation with MOS values from 17 formal subjective tests. We find that the proposed techniques significantly improve the log-spectral-error-based estimator.