An efficient technique for modeling and synthesis of automotive engine sounds

Author

Amman, Scott A. ; Das, Manohar

Author_Institution

Safety R&D, Ford Res. Lab., Dearborn, MI, USA

Volume

48

Issue

1

fYear

2001

fDate

2/1/2001 12:00:00 AM

Firstpage

225

Lastpage

234

Abstract

This paper presents a new method for modeling and synthesis of automotive engine sounds using a deterministic-stochastic signal decomposition approach. First, the deterministic component is extracted using a synchronous discrete Fourier transform method and this is subtracted out from the original signal. Next, the (residual) stochastic component is modeled (and synthesized) using a new multipulse excited time-series modeling technique. The effectiveness of the proposed methodology is demonstrated using recorded data sets of actual engine sounds. The results of both numerical and subjective assessment tests are presented

Keywords

Fourier transforms; acoustic signal processing; automobiles; deterministic algorithms; internal combustion engines; stochastic processes; time series; automotive engine sounds analysis; automotive engine sounds synthesis; deterministic-stochastic signal decomposition approach; multipulse excited time-series modeling technique; numerical assessment tests; recorded data sets; residual component; subjective assessment tests; synchronous discrete Fourier transform method; Acoustic noise; Acoustical engineering; Automotive engineering; Data mining; Discrete Fourier transforms; Internal combustion engines; Search engines; Signal synthesis; Stochastic processes; Vehicles;

fLanguage

English

Journal_Title

Industrial Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0278-0046

Type

jour

DOI

10.1109/41.904583

Filename

904583