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- Title
Reconocimiento de patrones de habla usando MFCC y RNA.
- Authors
Ramos, Olga L.; Rojas, Diego A.; Góngora, Leonardo A.
- Abstract
This study shows the results of the designing and development of an algorithm based on artificial intelligence and Mel Frequency C'epstral Coefficients (MFCC) it recognizes Spanish words by using speech patterns. The using of MFCC' has allowed to characterize voice signais, taking into account the noise in a record environment which helps with the estimation of common patterns among these signals when presents disturbances through a classifier based in Artificial Neural Networks (ANN). As main result of this study, a recognizing rate between 93 % and 96 % of the selected vowels (/a/, /e/, /o/) was achieved. For the training a number of 22 samples were used and other 11 for the validation process. The samples were obtained from 11 test subjects, all of them were male genre.
- Publication
Visión Electrónica, 2016, Vol 10, Issue 1, p1
- ISSN
1909-9746
- Publication type
Article
- DOI
10.14483/22484728.11712