Comparative analysis between wavelets for the identification of pathological voices
| dc.contributor.author | Soares, Heliana Bezerra | |
| dc.contributor.author | Cavalcanti, Náthalee | |
| dc.contributor.author | Silva, Sandro | |
| dc.contributor.author | Bresolin, Adriano | |
| dc.contributor.author | Guerreiro, Ana Maria Guimarães | |
| dc.date.accessioned | 2021-12-01T17:42:01Z | |
| dc.date.issued | 2010 | |
| dc.description.embargo | 2030 | |
| dc.description.resumo | This study presents a comparative analysis of wavelets, in order to find a descriptor that provides a better classification of voice pathologies. Different types of Wavelet Packet Transform were used as a tool for feature extraction and Support Vector Machine (SVM) to classify vocal disorders. Tests were conducted with 23 wavelets types in two SVMs, the first using the strategy “one vs. all” to classify normal and pathological voices and the second, using the strategy “one vs. one” to classify pathologies: edema and nodules. The best results were obtained using Daubechies family, especially Daubechies 5 (db5) wavelet | pt_BR |
| dc.identifier.citation | CAVALCANTE, Nathalee; SOARES, Heliana Bezerra ; BRESOLIN, Adriano A.; Silva, Sandro; Guerreiro, Ana Maria Guimarães. Comparative Analysis between Wavelets for the Identification of Phatological Voices. Lecture Notes in Computer Science, v. 6419, p. 236-243, 2010. Disponível em: https://link.springer.com/chapter/10.1007%2F978-3-642-16687-7_34. Acesso em: 16 jul. 2020. https://doi.org/10.1007/978-3-642-16687-7_34. | pt_BR |
| dc.identifier.doi | https://doi.org/10.1007/978-3-642-16687-7_34 | |
| dc.identifier.isbn | 978-3-642-16686-0 | |
| dc.identifier.isbn | 978-3-642-16687-7 | |
| dc.identifier.issn | 0302-9743 (print) | |
| dc.identifier.uri | https://repositorio.ufrn.br/handle/123456789/45116 | |
| dc.language | en | pt_BR |
| dc.publisher | Springer Nature | pt_BR |
| dc.rights | Attribution 3.0 Brazil | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/br/ | * |
| dc.subject | Vocal disorder | pt_BR |
| dc.subject | Support Vector Machine (SVM) | pt_BR |
| dc.subject | Wavelet Packet Transform | pt_BR |
| dc.title | Comparative analysis between wavelets for the identification of pathological voices | pt_BR |
| dc.type | article | pt_BR |
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