Acoustic Characteristics of Vowels Following Fortis Consonants: -Formant Properties and Machine-Learning-Based Classification Analysis-

Eun-young Hong

doi:10.37967/emh.2026.3.171.151

March 31, 2026Eomunhak

Acoustic Characteristics of Vowels Following Fortis Consonants: -Formant Properties and Machine-Learning-Based Classification Analysis-

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Key Points

This research examines how the vocal characteristics of preceding consonants affect the resonance structures of following vowels in Korean.
Analyzed F1 to F4 formant values of vowels following fortis and lenis consonants
Used machine learning classification to assess the discriminative power of formant information
Compared formant values across varying vowel types and consonant contexts.
Vowels following fortis consonants show lower F1 and higher F2 values compared to those following lenis consonants
F3 and F4 values are significantly higher for most vowels following fortis consonants, except for 'ㅗ'
Machine learning analysis reveals that F1 and F2 are significant for high vowels, while F3 and F4 are more influential for mid and low vowels.

Implication

This research investigates vowel resonance structures following fortis consonants, highlighting their classification potential in Korean language vowels.

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Cite This Study

Eun-young Hong (2026) studied this question.

synapsesocial.com/papers/69e9b62685696592c86eaf06 https://doi.org/10.37967/emh.2026.3.171.151

View Full Paper

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Acoustic Characteristics of Vowels Following Fortis Consonants: -Formant Properties and Machine-Learning-Based Classification Analysis-

Key Points

Implication

Discussion

Cite This Study

Acoustic Characteristics of Vowels Following Fortis Consonants: -Formant Properties and Machine-Learning-Based Classification Analysis-

Key Points

Implication

Discussion

Cite This Study

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