Related Experiment Video
Updated: Jan 21, 2026

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
Published on: September 8, 2023
How the peak glottal area affects linear predictive coding-based formant estimates of vowels.
Peter Birkholz1, Falk Gabriel1, Steffen Kürbis1
1Institute of Acoustics and Speech Communication, TU Dresden, 01062 Dresden, Germany.
Linear Predictive Coding (LPC) estimates vocal tract formants. This study shows that a varying glottis area, not a closed one, significantly impacts the first formant (F1) frequency for vowels.
Area of Science:
- Acoustic Phonetics
- Speech Production
- Bioacoustics
Background:
- Linear Predictive Coding (LPC) is standard for estimating formant frequencies from speech.
- LPC assumes a closed glottis, but real vocal fold vibration involves a time-varying glottal area.
- Previous research suggests LPC formants may differ from actual vocal tract resonances with a dynamic glottis.
Purpose of the Study:
- To systematically investigate the deviation between vocal tract resonances (closed glottis) and LPC-estimated formants.
- To quantify the impact of varying peak glottal areas on formant frequency estimation during phonation.
Main Methods:
- Utilized physical vocal tract models with a self-oscillating rubber vocal fold model.
- Employed computer simulations of interacting source and filter models.
- Analyzed ten vocal tract resonators representing different vowels.
Main Results:
- The first formant (F1) frequency increased with the peak glottal area.
- Second (F2) and third (F3) formant frequencies showed no systematic changes with glottal area.
- The effect of glottal area on F1 was most pronounced for close-mid to close vowels.
Conclusions:
- The assumption of a closed glottis in LPC analysis can lead to inaccurate formant frequency estimations, particularly for F1.
- The dynamic nature of the glottis significantly influences the acoustic output, especially for certain vowel qualities.
- Findings highlight the importance of considering glottal dynamics in speech analysis and modeling.
Related Concept Videos
lncRNA - Long Non-coding RNAs
Predicting Molecular Geometry
Linear Circuits
Nursing Code of Ethics
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations
IR Spectrum Peak Intensity: Amount of IR-Active Bonds

