{"title":"基于多尺度积分析的多基频估计方法","authors":"Jihen Zeremdini, M. B. Messaoud, A. Bouzid","doi":"10.1109/ICFSP.2017.8097060","DOIUrl":null,"url":null,"abstract":"This paper describes three methods for multiple fundamental frequencies estimation based on the multi-scale product analysis. The three methods use the autocorrelation of the multi-scale product analysis for the target pitch estimation. For the intrusion pitch, each one has its techniques. The first one uses the classic comb filtering. The second method employs the rectangular comb filter followed by the dynamic programming and the third one uses multiple-comb filters. These methods are evaluated on the Cooke database by calculating the gross error and the root means square error and compared to each other.","PeriodicalId":382413,"journal":{"name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiple fundamental frequencies estimation approaches based on multi-scale product analysis\",\"authors\":\"Jihen Zeremdini, M. B. Messaoud, A. Bouzid\",\"doi\":\"10.1109/ICFSP.2017.8097060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes three methods for multiple fundamental frequencies estimation based on the multi-scale product analysis. The three methods use the autocorrelation of the multi-scale product analysis for the target pitch estimation. For the intrusion pitch, each one has its techniques. The first one uses the classic comb filtering. The second method employs the rectangular comb filter followed by the dynamic programming and the third one uses multiple-comb filters. These methods are evaluated on the Cooke database by calculating the gross error and the root means square error and compared to each other.\",\"PeriodicalId\":382413,\"journal\":{\"name\":\"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICFSP.2017.8097060\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICFSP.2017.8097060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiple fundamental frequencies estimation approaches based on multi-scale product analysis
This paper describes three methods for multiple fundamental frequencies estimation based on the multi-scale product analysis. The three methods use the autocorrelation of the multi-scale product analysis for the target pitch estimation. For the intrusion pitch, each one has its techniques. The first one uses the classic comb filtering. The second method employs the rectangular comb filter followed by the dynamic programming and the third one uses multiple-comb filters. These methods are evaluated on the Cooke database by calculating the gross error and the root means square error and compared to each other.