A Similarity Measure of Musical Notes Based on Psychoacoustics of Loudness and Pitch Perception

C. Sodsri
{"title":"A Similarity Measure of Musical Notes Based on Psychoacoustics of Loudness and Pitch Perception","authors":"C. Sodsri","doi":"10.1109/ICEAST.2019.8802592","DOIUrl":null,"url":null,"abstract":"Musical note similarities are usually verified by subjective tests and timbre comparisons. However, for one with no background in frequency analysis and without spectral clue in spectral comparison, it might not be easy for one to see how similar two sounds are. This work proposed a simple index for similarity measurement of musical notes, based on psychoacoustics of pitch and loudness perception, called musical note similarity index (MNSI). It was intended to use as a clue for spectral comparison and defined as a subtraction inverse of normalized summation of penalty weights for each harmonic amplitude and frequency exceeding the just noticeable differences (JNDs). Experiments were done and results were statistically analyzed. The correlation and t-test analysis showed that the MNSIs were well correlated with the subjective evaluations of sound similarity. Statistically, the Pearson correlation coefficient of the test was 0.9396 with 99% confidence.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEAST.2019.8802592","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

Musical note similarities are usually verified by subjective tests and timbre comparisons. However, for one with no background in frequency analysis and without spectral clue in spectral comparison, it might not be easy for one to see how similar two sounds are. This work proposed a simple index for similarity measurement of musical notes, based on psychoacoustics of pitch and loudness perception, called musical note similarity index (MNSI). It was intended to use as a clue for spectral comparison and defined as a subtraction inverse of normalized summation of penalty weights for each harmonic amplitude and frequency exceeding the just noticeable differences (JNDs). Experiments were done and results were statistically analyzed. The correlation and t-test analysis showed that the MNSIs were well correlated with the subjective evaluations of sound similarity. Statistically, the Pearson correlation coefficient of the test was 0.9396 with 99% confidence.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于响度和音高感知心理声学的音符相似度测量
音符相似度通常通过主观测试和音色对比来验证。然而,对于一个没有频率分析背景,没有频谱比较线索的人来说,可能不容易看出两个声音有多相似。本文基于音高和响度感知的心理声学,提出了一种简单的音符相似度测量指标,称为音符相似度指数(MNSI)。它被用来作为频谱比较的线索,并被定义为每个谐波振幅和频率超过刚好可注意差异(JNDs)的惩罚权归一化和的减法逆。对实验结果进行了统计分析。相关分析和t检验分析表明,mnsi与声音相似度的主观评价具有良好的相关性。统计学上,检验的Pearson相关系数为0.9396,置信度为99%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Formal Verification of the Accounting Information Interfaces Using Colored Petri Net Multi-Channel Surface Electromyograph for Monitoring Intradialytic Cramp Narrowband-Internet of Things (NB-IoT) System for Elderly Healthcare Services Municipal Solid Waste Segregation with CNN Measuring Icon Recognization Mapping with Automated Decision Making System
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1