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Cited by 845

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

Morphology and development of the human vocal tract: A study using magnetic resonance imaging

Fitch, W. Tecumseh, Giedd, Jay·1999·The Journal of the Acoustical Society of America

Abstract

Magnetic resonance imaging was used to quantify the vocal tract morphology of 129 normal humans, aged 2–25 years. Morphometric data, including midsagittal vocal tract length, shape, and proportions, were collected using computer graphic techniques. There was a significant positive correlation between vocal tract length and body size (either height or weight). The data also reveal clear differences in male and female vocal tract morphology, including changes in overall vocal tract length and the relative proportions of the oral and pharyngeal cavity. These sex differences are not evident in children, but arise at puberty, suggesting that they are part of the vocal remodeling process that occurs during puberty in males. These findings have implications for speech recognition, speech forensics, and the evolution of the human speech production system, and provide a normative standard for future studies of human vocal tract morphology and development.

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Crossref · 10.1121/1.427148

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Metadata

Authors
Fitch, W. T., & Giedd, J.
Venue
The Journal of the Acoustical Society of America
Published
1999-09-01
Volume
106
Issue
3
Pages
1511-1522
ISSN
  • 0001-4966 (ISSN-L)
  • 1520-8524
OpenAlex
W1982976845
Cited by
845
References
41
FWCI
12.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Morphology and development of the human vocal tract: A study using magnetic resonance imaging. https://app.cochat.ai/papers/10.1121/1.427148
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Fitch, W. T., & Giedd, J. (1999). Morphology and development of the human vocal tract: A study using magnetic resonance imaging. The Journal of the Acoustical Society of America. https://doi.org/10.1121/1.427148

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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