Methods for Speech Signal Structuring and Extracting Features
The preliminary stage of the biometric identification is speech signal structuring and extracting features. For calculation of the fundamental tone are considered and in number investigated the following methods – autocorrelation function (ACF) method, average magnitude difference function (AMDF) me...
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2022
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/82267 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Methods for Speech Signal Structuring and Extracting Features
- A Voice Signal Filtering Methods for Speaker Biometric Identification
- Real-time Hardware Feature Extraction with Embedded Signal Enhancement for Automatic Speech Recognition
- Esophageal Speech Enhancement Using a Feature Extraction Method Based on Wavelet Transform
- Time-Frequency Based Feature Extraction for Non-Stationary Signal Classification
- Multidimensional Features Extraction Methods in Frequency Domain
- Adaptive Feature Extraction Method for Degraded Character Recognition