The Impact of Training Strategies on Overfitting in Vowel Classification Using PS-HFCC Parametrization for Automatic Speech Recognition

This paper investigates the overfitting problem in vowel classification task for automatic speech recognition (ASR). It utilizes a pitch synchronized human factor cepstral coefficients (PS-HFCC) as the parametrization method, which outperforms traditional methods like HFCC and mel-frequency cepstra...

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Bibliographic Details
Main Authors: Stanislaw GMYREK, Urszula LIBAL, Robert HOSSA
Format: Article
Language:English
Published: Institute of Fundamental Technological Research Polish Academy of Sciences 2025-08-01
Series:Archives of Acoustics
Subjects:
Online Access:https://acoustics.ippt.pan.pl/index.php/aa/article/view/4193
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