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Static spectral cues serve as perceptual anchors in vowel recognition across a broad range of fundamental frequencies
Stockholm University, Faculty of Social Sciences, Department of Psychology, Cognitive psychology. Stockholm University, Faculty of Social Sciences, Department of Psychology, Centre for Cultural Evolution. University of Neuchâtel, Switzerland.
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Number of Authors: 52025 (English)In: Journal of the Acoustical Society of America, ISSN 0001-4966, E-ISSN 1520-8524, Vol. 158, no 2, p. 1560-1572Article in journal (Refereed) Published
Abstract [en]

At high fundamental frequencies (fos), wide harmonic spacing can obscure typical formant cues. This study investigates the role of static spectral cues in maintaining vowel identity under such conditions. We resynthesized steady-state versions of eight German vowels (/i, y, e, ø, ɛ, a, o, u/) across fos ranging from 220 to 880 Hz from previously identifiable spoken vowels, preserving their gross spectral shapes. Twenty native German speakers participated in a two-alternative forced-choice identification task. Results showed that identification accuracy declined at higher fos, especially for vowels with less distinctive spectral features, sometimes approaching chance levels. However, vowels with more distinctive static spectral properties, particularly the point vowels /i/, /a/, and /u/, often remained identifiable above chance even at the highest fos. Auditory excitation patterns indicated that listeners rely on perceptual anchors at the boundaries of the vowel space, utilizing gross static spectral properties to maintain vowel contrasts when harmonic spacing undersamples the vocal tract transfer function. These findings suggest that the auditory system adapts to challenging acoustic conditions by relying on internal representations of vowel categories and static spectral cues, highlighting their importance in preserving vowel identity at high fos.

Place, publisher, year, edition, pages
2025. Vol. 158, no 2, p. 1560-1572
Keywords [en]
human voice, vocalization, auditory system, acoustic modeling, simulation and analysis, speech perception, speech processing systems, vowel systems, spectral phenomena and properties, organs, regression analysis
National Category
Comparative Language Studies and Linguistics
Research subject
Linguistics
Identifiers
URN: urn:nbn:se:su:diva-246807DOI: 10.1121/10.0039058ISI: 001560133500003PubMedID: 40862541Scopus ID: 2-s2.0-105014255176OAI: oai:DiVA.org:su-246807DiVA, id: diva2:1997912
Available from: 2025-09-15 Created: 2025-09-15 Last updated: 2025-12-19Bibliographically approved

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Citation style
  • apa
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