Spoken Digits Recognition Using Wavelet Transform and Power Spectrum Density Estimation
| Autor: | N. Aqili, Abd-Errahim Maazouzi, Mourad Raji, Ahmed Hammouch |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Discrete wavelet transform
General Computer Science business.industry Computer science Second-generation wavelet transform Stationary wavelet transform Speech recognition Wavelet transform Pattern recognition Cascade algorithm Wavelet packet decomposition Wavelet Computer Science::Sound Artificial intelligence business Harmonic wavelet transform |
| Zdroj: | International Review on Computers and Software (IRECOS). 11:35 |
| ISSN: | 2533-1728 1828-6003 |
| Popis: | This work aims to develop an automatic recognition system for isolated spoken words based on power spectrum density estimation and similarity measurements. The pre-processing step prepares the signal for the ulterior phases. For features extraction, we apply the discrete wavelet transform to the speech signal and then the algorithm of Welch is used to estimate the power spectrum density. At the stage of matching, we determine the similarity between power spectra using discrete to continuous algorithm. The experiments give considerable recognition rates with the parameters used. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|