Hardware implementation of MFCC feature extraction for respiratory sounds analysis

Author

Bahoura, Mohammed ; Ezzaidi, Hassan

Author_Institution

Dept. of Eng., Univ. du Quebec, Rimouski, QC, Canada

fYear

2013

fDate

12-15 May 2013

Firstpage

226

Lastpage

229

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.

Keywords

acoustic signal processing; feature extraction; field programmable gate arrays; medical signal processing; FPGA; MFCC feature extraction; Matlab-Simulink environment; XSG; Xilinx system generator; acoustic feature extraction method; cepstral coefficients; fixed- point XSG implementation; hardware implementation; normal respiratory sounds; real-time respiratory sound analysis; wheezing respiratory sounds; Discrete cosine transforms; Field programmable gate arrays; Generators; Indexes; Mel frequency cepstral coefficient; Software packages;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signal Processing and their Applications (WoSSPA), 2013 8th International Workshop on

Conference_Location

Algiers

Type

conf

DOI

10.1109/WoSSPA.2013.6602366

Filename

6602366

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3086969