Attribute identification and quantification in automotive audio - Part 1: Introduction to the descriptive analysis technique

Geoff Martin; Søren Bech

Attribute identification and quantification in automotive audio - Part 1: Introduction to the descriptive analysis technique

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

13 Citations (Scopus)

Abstract

Although many commonly-accepted paradigms exist for perceptual testing of automotive audio systems, it has yet to be reliably determined which auditory attributes should be tested. This paper gives an introduction to the Descriptive Analysis technique for identifying and quantifying the constituent perceptual attributes of signals produced by a sound playback system in an automotive environment.

Original language	English
Title of host publication	Audio Engineering Society - 118th Convention Spring Preprints 2005
Number of pages	14
Volume	1
Publisher	Audio Engineering Society
Publication date	1 Dec 2005
Pages	127-140
ISBN (Print)	9781604234848
Publication status	Published - 1 Dec 2005
Externally published	Yes
Event	118th Convention Spring Preprints 2005 - Barcelona, Spain Duration: 28 May 2005 → 31 May 2005

Conference

Conference	118th Convention Spring Preprints 2005
Country/Territory	Spain
City	Barcelona
Period	28/05/2005 → 31/05/2005

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title = "Attribute identification and quantification in automotive audio - Part 1: Introduction to the descriptive analysis technique",

abstract = "Although many commonly-accepted paradigms exist for perceptual testing of automotive audio systems, it has yet to be reliably determined which auditory attributes should be tested. This paper gives an introduction to the Descriptive Analysis technique for identifying and quantifying the constituent perceptual attributes of signals produced by a sound playback system in an automotive environment.",

author = "Geoff Martin and S{\o}ren Bech",

year = "2005",

month = dec,

day = "1",

language = "English",

isbn = "9781604234848",

volume = "1",

pages = "127--140",

booktitle = "Audio Engineering Society - 118th Convention Spring Preprints 2005",

publisher = "Audio Engineering Society",

note = "118th Convention Spring Preprints 2005 ; Conference date: 28-05-2005 Through 31-05-2005",

}

Attribute identification and quantification in automotive audio - Part 1: Introduction to the descriptive analysis technique. / Martin, Geoff; Bech, Søren.
Audio Engineering Society - 118th Convention Spring Preprints 2005. Vol. 1 Audio Engineering Society, 2005. p. 127-140.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

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AU - Martin, Geoff

AU - Bech, Søren

PY - 2005/12/1

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N2 - Although many commonly-accepted paradigms exist for perceptual testing of automotive audio systems, it has yet to be reliably determined which auditory attributes should be tested. This paper gives an introduction to the Descriptive Analysis technique for identifying and quantifying the constituent perceptual attributes of signals produced by a sound playback system in an automotive environment.

AB - Although many commonly-accepted paradigms exist for perceptual testing of automotive audio systems, it has yet to be reliably determined which auditory attributes should be tested. This paper gives an introduction to the Descriptive Analysis technique for identifying and quantifying the constituent perceptual attributes of signals produced by a sound playback system in an automotive environment.

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UR - http://www.aes.org/e-lib/browse.cfm?elib=13076

M3 - Article in proceeding

AN - SCOPUS:84866484877

SN - 9781604234848

VL - 1

SP - 127

EP - 140

BT - Audio Engineering Society - 118th Convention Spring Preprints 2005

PB - Audio Engineering Society

Y2 - 28 May 2005 through 31 May 2005

ER -

Attribute identification and quantification in automotive audio - Part 1: Introduction to the descriptive analysis technique

Abstract

Conference

AUB Link

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