Artículo
Exploiting the Symmetry of Integral Transforms for Featuring Anuran Calls
Autor/es | Luque Sendra, Amalia
Gómez-Bellido, Jesús Carrasco Muñoz, Alejandro Barbancho Concejero, Julio |
Departamento | Universidad de Sevilla. Departamento de Ingeniería del Diseño Universidad de Sevilla. Departamento de Tecnología Electrónica |
Fecha de publicación | 2019 |
Fecha de depósito | 2019-09-02 |
Publicado en |
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Resumen | The application of machine learning techniques to sound signals requires the previous
characterization of said signals. In many cases, their description is made using cepstral coefficients
that represent the sound spectra. ... The application of machine learning techniques to sound signals requires the previous characterization of said signals. In many cases, their description is made using cepstral coefficients that represent the sound spectra. In this paper, the performance in obtaining cepstral coefficients by two integral transforms, Discrete Fourier Transform (DFT) and Discrete Cosine Transform (DCT), are compared in the context of processing anuran calls. Due to the symmetry of sound spectra, it is shown that DCT clearly outperforms DFT, and decreases the error representing the spectrum by more than 30%. Additionally, it is demonstrated that DCT-based cepstral coefficients are less correlated than their DFT-based counterparts, which leads to a significant advantage for DCT-based cepstral coefficients if these features are later used in classification algorithms. Since the DCT superiority is based on the symmetry of sound spectra and not on any intrinsic advantage of the algorithm, the conclusions of this research can definitely be extrapolated to include any sound signal. |
Cita | Luque Sendra, A., Gómez-Bellido, J., Carrasco Muñoz, A. y Barbancho Concejero, J. (2019). Exploiting the Symmetry of Integral Transforms for Featuring Anuran Calls. Symmetry, 11 (3) |
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