{"title":"音乐信号时频分析的综合研究","authors":"K. R. Chithra, M. Sinith","doi":"10.1109/IConSCEPT57958.2023.10170306","DOIUrl":null,"url":null,"abstract":"Time-frequency analysis is an efficient tool for analyzing an audio signal due to its quasi stationary nature. The spectral analysis gives important information about an audio signal such as pitch, onset detection, feature extraction etc. Time-frequency analysis combine both time and frequency domain analysis to provide better understanding of an audio signal. By analyzing a signal in both domains simultaneously, we can track how the frequency content of signal changes over time and how time varying properties impact its spectral characteristics. In this paper a comprehensive study on various methods for time-frequency analysis for musical signals is presented.","PeriodicalId":240167,"journal":{"name":"2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Comprehensive Study of Time-Frequency Analysis of Musical Signals\",\"authors\":\"K. R. Chithra, M. Sinith\",\"doi\":\"10.1109/IConSCEPT57958.2023.10170306\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Time-frequency analysis is an efficient tool for analyzing an audio signal due to its quasi stationary nature. The spectral analysis gives important information about an audio signal such as pitch, onset detection, feature extraction etc. Time-frequency analysis combine both time and frequency domain analysis to provide better understanding of an audio signal. By analyzing a signal in both domains simultaneously, we can track how the frequency content of signal changes over time and how time varying properties impact its spectral characteristics. In this paper a comprehensive study on various methods for time-frequency analysis for musical signals is presented.\",\"PeriodicalId\":240167,\"journal\":{\"name\":\"2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IConSCEPT57958.2023.10170306\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IConSCEPT57958.2023.10170306","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Comprehensive Study of Time-Frequency Analysis of Musical Signals
Time-frequency analysis is an efficient tool for analyzing an audio signal due to its quasi stationary nature. The spectral analysis gives important information about an audio signal such as pitch, onset detection, feature extraction etc. Time-frequency analysis combine both time and frequency domain analysis to provide better understanding of an audio signal. By analyzing a signal in both domains simultaneously, we can track how the frequency content of signal changes over time and how time varying properties impact its spectral characteristics. In this paper a comprehensive study on various methods for time-frequency analysis for musical signals is presented.