Sound-quality prediction for nonstationary vehicle interior noise based on wavelet pre-processing neural network model

Wang, Y.S.; Lee, C.-M.; Kim, D.-G.; Xu, Yong

doi:10.1016/j.jsv.2006.07.034

Cited by 96 publications

(67 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Zwicker´s method applies a level dependent weighting to the measured level in each 1/3 octave band with adjustments for spectral masking and other features of the sound (Wang et al, 2007;Lee, 2008). The frequency selectivity of Zwicker's method conforms to critical band theory which was and still is an important concept in understanding personal hearing sensation (Kook et al, 2012).…”

Section: Introductionmentioning

confidence: 94%

Subjective dominance as a basis for selecting frequency weightings

Torija

Flindell

Self

2016

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

Abstract:The objective of this paper is to propose and illustrate a new and simple approach for the selection of frequency weightings for the assessment of environmental and transportation noise. In recent years, the A-frequency weighting has become almost universal except where existing standards and regulations mandate the use of alternative weightings and/or frequency summation procedures, but even where this has been based on extensive research, no real consensus has been achieved. The new approach is based on the concept of subjective dominance, which does not always conform to the physically dominant frequencies identified by the A-or other frequency weightings and summation procedures used in measurements and/or predictions. The new approach is illustrated by the results of a limited series of five listening tests which clearly demonstrate that no single objective frequency weighting or summation procedure is capable of providing the best-fit to subjective responses across a range of different contexts. Subjective dominance varies across different listening contexts and situations, and should therefore be considered whenever noise management and control decisions are being made. The new approach will naturally require further research because of the wide range of different contexts and situations in which it might need to be applied. AbstractThe objective of this paper is to propose and illustrate a new and simple approach for the selection of frequency weightings for the assessment of environmental and transportation noise. In recent years, the A-frequency weighting has become almost universal except where existing standards and regulations mandate the use of alternative weightings and/or frequency summation procedures, but even where this has been based on extensive research, no real consensus has been achieved.The new approach is based on the concept of subjective dominance, which does not always conform to the physically dominant frequencies identified by the A-or other frequency weightings and summation procedures used in measurements and/or predictions. The new approach is illustrated by the results of a limited series of five listening tests which clearly demonstrate that no single objective frequency weighting or summation procedure is capable of providing the best-fit to subjective responses across a range of different contexts. Subjective dominance varies across different listening contexts and situations, and should therefore be considered whenever noise management and control decisions are being made. The new approach will naturally require further research because of the wide range of different contexts and situations in which it might need to be applied.

show abstract

Section: Introductionmentioning

confidence: 94%

Subjective dominance as a basis for selecting frequency weightings

Torija

Flindell

Self

2016

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

show abstract

“…In light of this, numerous attempts can be found to improve this approach by applying artificial neural network [Lee and Lee, 2009;Lee et al, 2006]. Concurrently, the artificial neural network is improved on by proposing to combine different methods [Paulraj et al, 2010;Wang et al, 2007;Yildirim and Eski, 2008]. Typically, psychoacoustics studies require a jury or human subject evaluation, which is time consuming since it involves surveying a specific sample audience size and compiling the feedback may be tedious.…”

Section: Psychoacousticsmentioning

confidence: 99%

Acoustic Metamaterials: A Potential for Cabin Noise Control in Automobiles and Armored Vehicles

Ang

Koh²,

Lee

2016

Int. J. Appl. Mechanics

View full text Add to dashboard Cite

The aim of this paper is to provide an overview of the existing industrial practices used for cabin noise control in various industries such as automotive, marine, aerospace, and defense. However, emphasis is placed on automobiles and armored vehicles. Generally, automobile cabins usually constitute of thin structural panels, where the fundamental frequency typically falls below 200[Formula: see text]Hz. If a specific structural mode couples with a specific acoustic mode of the cabin, booming noise occurs. As such, discomfort may be felt by the occupants. Fundamentally, vibroacoustics problems may be minimized if the acoustic modes and the structural modes are decoupled, which is achieved usually by structural modifications or acoustical treatments. However, if excessively performed, the weight limitation of an automobile design will be exceeded; not to mention the adverse effect of increased weight on several factors such as fuel efficiency, mileage life of tires and acceleration of the vehicle. Moreover, current solutions have several drawbacks in low frequency noise control. In light of this, it is of great interest to explore the feasibility of acoustic metamaterials as an alternative with hope to improve cabin noise.

show abstract

“…This section gives some examples of the DWT successfully applied to nonstationary vehicle vibration and sound signals (Wang, et al, 2004(Wang, et al, , 2007(Wang, et al, , 2010.…”

Section: Applications Of the Wt On Nonstationary Signalsmentioning

confidence: 99%