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...
Saved in:
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Robust speech parametrization based on pitch synchronized cepstral solutions
by: Stanisław Gmyrek, et al.
Published: (2025-07-01) -
The Influence of the Amplitude Spectrum Correction in the HFCC Parametrization on the Quality of Speech Signal Frame Classification
by: Stanislaw GMYREK, et al.
Published: (2025-02-01) -
Pitch and vowel space characteristics of maternal speech to children with and without hearing loss
by: Jyothi Shivaswamy, et al.
Published: (2025-04-01) -
Control of Overfitting with Physics
by: Sergei V. Kozyrev, et al.
Published: (2024-12-01) -
The Unstressed Vowel Reduction of Galician
by: Alba Aguete Cajiao
Published: (2025-01-01)