{"title":"呼吸音分析中MFCC特征提取的硬件实现","authors":"M. Bahoura, H. Ezzaidi","doi":"10.1109/WOSSPA.2013.6602366","DOIUrl":null,"url":null,"abstract":"In this paper, an acoustic feature extraction method based on mel frequency cepstral coefficients (MFCC) was implemented on FPGA for real-time respiratory sound analysis. The proposed technique was implemented using Xilinx System Generator (XSG) in MATLAB/SIMULINK environment. The feature vectors obtained with fixed-point XSG implementation is compared to those obtained with on the floating-point MATLAB one using normal and wheezing respiratory sounds.","PeriodicalId":417940,"journal":{"name":"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Hardware implementation of MFCC feature extraction for respiratory sounds analysis\",\"authors\":\"M. Bahoura, H. Ezzaidi\",\"doi\":\"10.1109/WOSSPA.2013.6602366\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an acoustic feature extraction method based on mel frequency cepstral coefficients (MFCC) was implemented on FPGA for real-time respiratory sound analysis. The proposed technique was implemented using Xilinx System Generator (XSG) in MATLAB/SIMULINK environment. The feature vectors obtained with fixed-point XSG implementation is compared to those obtained with on the floating-point MATLAB one using normal and wheezing respiratory sounds.\",\"PeriodicalId\":417940,\"journal\":{\"name\":\"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WOSSPA.2013.6602366\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOSSPA.2013.6602366","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23
摘要
本文在FPGA上实现了一种基于频谱倒谱系数(MFCC)的实时呼吸声特征提取方法。该技术在MATLAB/SIMULINK环境下使用Xilinx System Generator (XSG)实现。将定点XSG实现得到的特征向量与使用正常呼吸音和喘息呼吸音的浮点MATLAB实现得到的特征向量进行了比较。
Hardware implementation of MFCC feature extraction for respiratory sounds analysis
In this paper, an acoustic feature extraction method based on mel frequency cepstral coefficients (MFCC) was implemented on FPGA for real-time respiratory sound analysis. The proposed technique was implemented using Xilinx System Generator (XSG) in MATLAB/SIMULINK environment. The feature vectors obtained with fixed-point XSG implementation is compared to those obtained with on the floating-point MATLAB one using normal and wheezing respiratory sounds.
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