Cited by 2,837Phonetics and Phonology ResearchSpeech and Audio ProcessingVoice and Speech Disorders

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Control Methods Used in a Study of the Vowels

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Peterson, Gordon E., Barney, Harold L.·1952·The Journal of the Acoustical Society of America

DOI 10.1121/1.1906875

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Abstract

Relationships between a listener's identification of a spoken vowel and its properties as revealed from acoustic measurement of its sound wave have been a subject of study by many investigators. Both the utterance and the identification of a vowel depend upon the language and dialectal backgrounds and the vocal and auditory characteristics of the individuals concerned. The purpose of this paper is to discuss some of the control methods that have been used in the evaluation of these effects in a vowel study program at Bell Telephone Laboratories. The plan of the study, calibration of recording and measuring equipment, and methods for checking the performance of both speakers and listeners are described. The methods are illustrated from results of tests involving some 76 speakers and 70 listeners.

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Background
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Background
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Method
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Background
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“This is counterintuitive because, in principle, the F0 and VTL differences between a child and an adult male speaker are usually larger than those between an adult female and an adult male (Peterson and Barney, 1952; Smith and Patterson, 2005).”
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“The VTL ranged from10.1to21.7cm;theGPRrangedfrom50to158Hz.Theclassic data of Peterson and Barney (1952) for men, women, and children are characterized by a set of three ellipses centered at VTL and GPR values of: 15.2 T 1.3 cm and 131 T 19 Hz (men); 13.2 T 1.2 cm and 223 T27Hz (women);and11.3 T1.3cm and264 T25Hz (chil…”
MethodInfluential

Authors: Peterson, G. E., & Barney, H. L.
Affiliations: Bell Telephone Laboratories, Inc., Murray Hill, New Jersey
Venue: The Journal of the Acoustical Society of America
Publisher: Acoustical Society of America (ASA)
Published: 1952-03-01
Volume: 24
Issue: 2
Pages: 175-184
ISSN: 0001-4966 (ISSN-L)
1520-8524
DOI: 10.1121/1.1906875
OpenAlex: W2056133372
Cited by: 2,837
References: 0
Citations by year: 2026: 41 · 2025: 42 · 2024: 52 · 2023: 63 · 2022: 79 · 2021: 81 · 2020: 92 · 2019: 83 · 2018: 72 · 2017: 90 · 2016: 90 · 2015: 97 · 2014: 94 · 2013: 136 · 2012: 118
FWCI: 5.93
Type: journal article
Language: en
Open access: green
hdl.handle.net
Licence: other-oa
Locations: The Journal of the Acoustical Society of America (publishedVersion)
MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
Health Sciences › Health Professions › Speech and Hearing › Voice and Speech Disorders
Keywords: vowel recognition, listener identification, equipment calibration, auditory characteristics, speech perception

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Control Methods Used in a Study of the Vowels

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