{"title":"神经网络音乐类型分类","authors":"Nikki Pelchat, Craig M. Gelowitz","doi":"10.1109/CJECE.2020.2970144","DOIUrl":null,"url":null,"abstract":"Music genre classification utilizing neural networks (NNs) has achieved some limited success in recent years. Differences in song libraries, machine learning techniques, input formats, and types of NNs implemented have all had varying levels of success. This article reviews some of the machine learning techniques utilized in this area. It also presents research work on music genre classification. The research uses images of spectrograms generated from timeslices of songs as the input into an NN to classify the songs into their respective musical genres.","PeriodicalId":55287,"journal":{"name":"Canadian Journal of Electrical and Computer Engineering-Revue Canadienne De Genie Electrique et Informatique","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CJECE.2020.2970144","citationCount":"10","resultStr":"{\"title\":\"Neural Network Music Genre Classification\",\"authors\":\"Nikki Pelchat, Craig M. Gelowitz\",\"doi\":\"10.1109/CJECE.2020.2970144\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Music genre classification utilizing neural networks (NNs) has achieved some limited success in recent years. Differences in song libraries, machine learning techniques, input formats, and types of NNs implemented have all had varying levels of success. This article reviews some of the machine learning techniques utilized in this area. It also presents research work on music genre classification. The research uses images of spectrograms generated from timeslices of songs as the input into an NN to classify the songs into their respective musical genres.\",\"PeriodicalId\":55287,\"journal\":{\"name\":\"Canadian Journal of Electrical and Computer Engineering-Revue Canadienne De Genie Electrique et Informatique\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1109/CJECE.2020.2970144\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Canadian Journal of Electrical and Computer Engineering-Revue Canadienne De Genie Electrique et Informatique\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CJECE.2020.2970144\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Journal of Electrical and Computer Engineering-Revue Canadienne De Genie Electrique et Informatique","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CJECE.2020.2970144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
Music genre classification utilizing neural networks (NNs) has achieved some limited success in recent years. Differences in song libraries, machine learning techniques, input formats, and types of NNs implemented have all had varying levels of success. This article reviews some of the machine learning techniques utilized in this area. It also presents research work on music genre classification. The research uses images of spectrograms generated from timeslices of songs as the input into an NN to classify the songs into their respective musical genres.
期刊介绍:
The Canadian Journal of Electrical and Computer Engineering (ISSN-0840-8688), issued quarterly, has been publishing high-quality refereed scientific papers in all areas of electrical and computer engineering since 1976