A WAVELET-BASED SPEAKER VERIFICATION ALGORITHM
| Autor: | Jussara Ribeiro, Shi-Huang Chen, Paulo Ricardo Franchi Zulato, Leonardo Mendes Souza, Michel Alves Lacerda, Rodrigo Capobianco Guido |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Discrete wavelet transform
Finite impulse response Artificial neural network Computer science business.industry Applied Mathematics Feature extraction Wavelet transform Pattern recognition Wavelet Signal Processing Radial basis function Artificial intelligence business Algorithm Classifier (UML) Information Systems |
| Zdroj: | International Journal of Wavelets, Multiresolution and Information Processing. :905-912 |
| ISSN: | 1793-690X 0219-6913 |
| DOI: | 10.1142/s0219691310003894 |
| Popis: | This paper presents a study on wavelets and their characteristics for the specific purpose of serving as a feature extraction tool for speaker verification (SV), considering a Radial Basis Function (RBF) classifier, which is a particular type of Artificial Neural Network (ANN). Examining characteristics such as support-size, frequency and phase responses, amongst others, we show how Discrete Wavelet Transforms (DWTs), particularly the ones which derive from Finite Impulse Response (FIR) filters, can be used to extract important features from a speech signal which are useful for SV. Lastly, an SV algorithm based on the concepts presented is described. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|