Music Signal Analysis: Regression Analysis

V. Chivukula, Sri Keshava Reddy Adupala
{"title":"Music Signal Analysis: Regression Analysis","authors":"V. Chivukula, Sri Keshava Reddy Adupala","doi":"10.5121/csit.2021.111205","DOIUrl":null,"url":null,"abstract":"Machine learning techniques have become a vital part of every ongoing research in technical areas. In recent times the world has witnessed many beautiful applications of machine learning in a practical sense which amaze us in every aspect. This paper is all about whether we should always rely on deep learning techniques or is it really possible to overcome the performance of simple deep learning algorithms by simple statistical machine learning algorithms by understanding the application and processing the data so that it can help in increasing the performance of the algorithm by a notable amount. The paper mentions the importance of data pre-processing than that of the selection of the algorithm. It discusses the functions involving trigonometric, logarithmic, and exponential terms and also talks about functions that are purely trigonometric. Finally, we discuss regression analysis on music signals.","PeriodicalId":347682,"journal":{"name":"Machine Learning, IOT and Blockchain Technologies & Trends","volume":"131 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Machine Learning, IOT and Blockchain Technologies & Trends","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/csit.2021.111205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Machine learning techniques have become a vital part of every ongoing research in technical areas. In recent times the world has witnessed many beautiful applications of machine learning in a practical sense which amaze us in every aspect. This paper is all about whether we should always rely on deep learning techniques or is it really possible to overcome the performance of simple deep learning algorithms by simple statistical machine learning algorithms by understanding the application and processing the data so that it can help in increasing the performance of the algorithm by a notable amount. The paper mentions the importance of data pre-processing than that of the selection of the algorithm. It discusses the functions involving trigonometric, logarithmic, and exponential terms and also talks about functions that are purely trigonometric. Finally, we discuss regression analysis on music signals.
音乐信号分析:回归分析
机器学习技术已经成为每个正在进行的技术领域研究的重要组成部分。近年来,世界见证了机器学习在实际意义上的许多美丽应用,这些应用在各个方面都让我们感到惊讶。这篇论文是关于我们是否应该总是依赖深度学习技术,或者是否真的有可能通过简单的统计机器学习算法来克服简单的深度学习算法的性能,通过理解应用程序和处理数据,从而帮助显著提高算法的性能。本文提出了数据预处理的重要性,而不是算法的选择。它讨论了涉及三角函数、对数函数和指数函数的函数,也讨论了纯三角函数。最后,我们讨论了音乐信号的回归分析。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信