Classificação de sinais de voz através da aplicação da transformada Wavelet Packet e redes neurais artificiais
Pathologies such as edema, nodules and paralysis are quite recurrent and directly influence vocal dysfunctions. The acoustic analysis has been used to evaluate the disorders caused in the voice signals, detecting the presence of pathologies in the larynx, through digital signal processing techniques...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Instituto Federal de Educação, Ciência e Tecnologia da Paraíba
2017-12-01
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| Series: | Revista Principia |
| Subjects: | |
| Online Access: | https://periodicos.ifpb.edu.br/index.php/principia/article/view/1380 |
| _version_ | 1811324072740519936 |
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| author | Augusto Felix Tavares Silva Samuel R. de Abreu Silvana Cunha Costa Suzete Elida Nobrega Correia |
| author_facet | Augusto Felix Tavares Silva Samuel R. de Abreu Silvana Cunha Costa Suzete Elida Nobrega Correia |
| author_sort | Augusto Felix Tavares Silva |
| collection | DOAJ |
| description | Pathologies such as edema, nodules and paralysis are quite recurrent and directly influence vocal dysfunctions. The acoustic analysis has been used to evaluate the disorders caused in the voice signals, detecting the presence of pathologies in the larynx, through digital signal processing techniques. This work aims to distinguish healthy voice signals from the ones affected by laryngeal pathologies, using the Wavelet Packet transform in the feature extraction step. Energy and entropy measures, in six resolution levels, obtained through the Daubechies wavelet of order 4 are used in the discrimination of the voice signals. The classification is done through Artificial Neural Networks. Accuracies above 90% were obtained, with the entropy measure, in the discrimination between healthy voices and affected ones by pathologies in the vocal folds (nodules, Reinke’s edema and paralysis) |
| first_indexed | 2024-04-13T14:06:53Z |
| format | Article |
| id | doaj.art-a8cfc3601b434cd282bfedef8bfab355 |
| institution | Directory Open Access Journal |
| issn | 1517-0306 2447-9187 |
| language | English |
| last_indexed | 2024-04-13T14:06:53Z |
| publishDate | 2017-12-01 |
| publisher | Instituto Federal de Educação, Ciência e Tecnologia da Paraíba |
| record_format | Article |
| series | Revista Principia |
| spelling | doaj.art-a8cfc3601b434cd282bfedef8bfab3552022-12-22T02:43:53ZengInstituto Federal de Educação, Ciência e Tecnologia da ParaíbaRevista Principia1517-03062447-91872017-12-01137344110.18265/1517-03062015v1n37p34-41621Classificação de sinais de voz através da aplicação da transformada Wavelet Packet e redes neurais artificiaisAugusto Felix Tavares Silva0Samuel R. de Abreu1Silvana Cunha Costa2Suzete Elida Nobrega Correia3Instituto Federal da Paraíba, Campus João PessoaInstituto Federal da Paraíba, Campus João PessoaInstituto Federal da Paraíba, Campus João PessoaInstituto Federal da Paraíba, Campus João PessoaPathologies such as edema, nodules and paralysis are quite recurrent and directly influence vocal dysfunctions. The acoustic analysis has been used to evaluate the disorders caused in the voice signals, detecting the presence of pathologies in the larynx, through digital signal processing techniques. This work aims to distinguish healthy voice signals from the ones affected by laryngeal pathologies, using the Wavelet Packet transform in the feature extraction step. Energy and entropy measures, in six resolution levels, obtained through the Daubechies wavelet of order 4 are used in the discrimination of the voice signals. The classification is done through Artificial Neural Networks. Accuracies above 90% were obtained, with the entropy measure, in the discrimination between healthy voices and affected ones by pathologies in the vocal folds (nodules, Reinke’s edema and paralysis)https://periodicos.ifpb.edu.br/index.php/principia/article/view/1380acoustic analysis. wavelet packet transform. artificial neural networks. laryngeal pathologies. |
| spellingShingle | Augusto Felix Tavares Silva Samuel R. de Abreu Silvana Cunha Costa Suzete Elida Nobrega Correia Classificação de sinais de voz através da aplicação da transformada Wavelet Packet e redes neurais artificiais Revista Principia acoustic analysis. wavelet packet transform. artificial neural networks. laryngeal pathologies. |
| title | Classificação de sinais de voz através da aplicação da transformada Wavelet Packet e redes neurais artificiais |
| title_full | Classificação de sinais de voz através da aplicação da transformada Wavelet Packet e redes neurais artificiais |
| title_fullStr | Classificação de sinais de voz através da aplicação da transformada Wavelet Packet e redes neurais artificiais |
| title_full_unstemmed | Classificação de sinais de voz através da aplicação da transformada Wavelet Packet e redes neurais artificiais |
| title_short | Classificação de sinais de voz através da aplicação da transformada Wavelet Packet e redes neurais artificiais |
| title_sort | classificacao de sinais de voz atraves da aplicacao da transformada wavelet packet e redes neurais artificiais |
| topic | acoustic analysis. wavelet packet transform. artificial neural networks. laryngeal pathologies. |
| url | https://periodicos.ifpb.edu.br/index.php/principia/article/view/1380 |
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