{"title":"基于相位谱混合偏导数的谐波与冲击声分离","authors":"Natsuki Akaishi, K. Yatabe, Yasuhiro Oikawa","doi":"10.1109/icassp43922.2022.9747057","DOIUrl":null,"url":null,"abstract":"Harmonic and percussive sound separation (HPSS) is a widely applied pre-processing tool that extracts distinct (harmonic and percussive) components of a signal. In the previous methods, HPSS has been performed based on the structural properties of magnitude (or power) spectrograms. However, such approach does not take advantage of phase that contains useful information of the waveform. In this paper, we propose a novel HPSS method named MipDroP that relies only on phase and does not use information of magnitude spectrograms. The proposed MipDroP algorithm effectively examines phase through its mixed partial derivative and constructs a pair of masks for the separation. Our experiments showed that MipDroP can extract percussive components better than the other methods.","PeriodicalId":272439,"journal":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Harmonic and Percussive Sound Separation Based on Mixed Partial Derivative of Phase Spectrogram\",\"authors\":\"Natsuki Akaishi, K. Yatabe, Yasuhiro Oikawa\",\"doi\":\"10.1109/icassp43922.2022.9747057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Harmonic and percussive sound separation (HPSS) is a widely applied pre-processing tool that extracts distinct (harmonic and percussive) components of a signal. In the previous methods, HPSS has been performed based on the structural properties of magnitude (or power) spectrograms. However, such approach does not take advantage of phase that contains useful information of the waveform. In this paper, we propose a novel HPSS method named MipDroP that relies only on phase and does not use information of magnitude spectrograms. The proposed MipDroP algorithm effectively examines phase through its mixed partial derivative and constructs a pair of masks for the separation. Our experiments showed that MipDroP can extract percussive components better than the other methods.\",\"PeriodicalId\":272439,\"journal\":{\"name\":\"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icassp43922.2022.9747057\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icassp43922.2022.9747057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Harmonic and Percussive Sound Separation Based on Mixed Partial Derivative of Phase Spectrogram
Harmonic and percussive sound separation (HPSS) is a widely applied pre-processing tool that extracts distinct (harmonic and percussive) components of a signal. In the previous methods, HPSS has been performed based on the structural properties of magnitude (or power) spectrograms. However, such approach does not take advantage of phase that contains useful information of the waveform. In this paper, we propose a novel HPSS method named MipDroP that relies only on phase and does not use information of magnitude spectrograms. The proposed MipDroP algorithm effectively examines phase through its mixed partial derivative and constructs a pair of masks for the separation. Our experiments showed that MipDroP can extract percussive components better than the other methods.