{"title":"A review on conventional psychoacoustic evaluation tools, methods and algorithms","authors":"Alexander Stojanow, Judith Liebetrau","doi":"10.1109/QoMEX.2016.7498923","DOIUrl":null,"url":null,"abstract":"Nowadays, psychoacoustic analysis of a sound is often applied for quick quantification of its auditory perception. Such hearing-related quantities also referred to as psychoacoustic parameters are meant to be a good representation of the human auditory perception. Predictive models are available to estimate the perception of these quantities. However, calculated psychoacoustic parameters show a lack of accuracy when compared with subjective listening test results for complex and authentic sounds. This paper shows some deficiencies and strengths of conventional algorithms and offers a few ideas for improvement.","PeriodicalId":6645,"journal":{"name":"2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX)","volume":"172 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QoMEX.2016.7498923","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Nowadays, psychoacoustic analysis of a sound is often applied for quick quantification of its auditory perception. Such hearing-related quantities also referred to as psychoacoustic parameters are meant to be a good representation of the human auditory perception. Predictive models are available to estimate the perception of these quantities. However, calculated psychoacoustic parameters show a lack of accuracy when compared with subjective listening test results for complex and authentic sounds. This paper shows some deficiencies and strengths of conventional algorithms and offers a few ideas for improvement.