Comparative Study between the Discrete-Frequency Kalman Filtering and the Discrete-Time Kalman Filtering with Application in Noise Reduction in Speech Signals
This article aims to carry out a comparative study between discrete-time and discrete-frequency Kalman filters. In order to assess the performance of both methods for speech reconstruction, we measured the output segmental signal-to-noise ratio and the Itakura-Saito distance provided by each algorit...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/1895190 |
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| author | Leandro Aureliano da Silva Gilberto Arantes Carrijo Eduardo Silva Vasconcelos Roberto Duarte Campos Cleiton Silvano Goulart Rodrigo Pinto Lemos |
| author_facet | Leandro Aureliano da Silva Gilberto Arantes Carrijo Eduardo Silva Vasconcelos Roberto Duarte Campos Cleiton Silvano Goulart Rodrigo Pinto Lemos |
| author_sort | Leandro Aureliano da Silva |
| collection | DOAJ |
| description | This article aims to carry out a comparative study between discrete-time and discrete-frequency Kalman filters. In order to assess the performance of both methods for speech reconstruction, we measured the output segmental signal-to-noise ratio and the Itakura-Saito distance provided by each algorithm over 25 different voice signals. The results show that although the two algorithms performed very similarly regarding noise reduction, the discrete-time Kalman filter produced smaller spectral distortion on the estimated signals when compared with the discrete-frequency Kalman filter. |
| format | Article |
| id | doaj-art-e983beecd8774daabfc9edcbeb80e8fa |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-e983beecd8774daabfc9edcbeb80e8fa2025-02-03T01:26:40ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552018-01-01201810.1155/2018/18951901895190Comparative Study between the Discrete-Frequency Kalman Filtering and the Discrete-Time Kalman Filtering with Application in Noise Reduction in Speech SignalsLeandro Aureliano da Silva0Gilberto Arantes Carrijo1Eduardo Silva Vasconcelos2Roberto Duarte Campos3Cleiton Silvano Goulart4Rodrigo Pinto Lemos5Department of Electrical Engineering, Universidade Federal de Uberlândia, Av. João Naves de Ávila, 2160 Bloco 3N, Campus Santa Mônica, Uberlândia, MG, BrazilDepartment of Electrical Engineering, Universidade Federal de Uberlândia, Av. João Naves de Ávila, 2160 Bloco 3N, Campus Santa Mônica, Uberlândia, MG, BrazilDepartment of Electrical Engineering, Universidade Federal de Uberlândia, Av. João Naves de Ávila, 2160 Bloco 3N, Campus Santa Mônica, Uberlândia, MG, BrazilDepartment of Electrical Engineering, Faculdade de Talentos Humanos, R. Manoel Gonçalves de Rezende, 230 São Cristóvão, Uberaba, MG, BrazilDepartment of Electrical Engineering, Faculdade de Talentos Humanos, R. Manoel Gonçalves de Rezende, 230 São Cristóvão, Uberaba, MG, BrazilDepartment of Electrical Engineering, Universidade Federal de Goiás, Av. Esperança, s/n. Campus Universitário, Goiânia, GO, BrazilThis article aims to carry out a comparative study between discrete-time and discrete-frequency Kalman filters. In order to assess the performance of both methods for speech reconstruction, we measured the output segmental signal-to-noise ratio and the Itakura-Saito distance provided by each algorithm over 25 different voice signals. The results show that although the two algorithms performed very similarly regarding noise reduction, the discrete-time Kalman filter produced smaller spectral distortion on the estimated signals when compared with the discrete-frequency Kalman filter.http://dx.doi.org/10.1155/2018/1895190 |
| spellingShingle | Leandro Aureliano da Silva Gilberto Arantes Carrijo Eduardo Silva Vasconcelos Roberto Duarte Campos Cleiton Silvano Goulart Rodrigo Pinto Lemos Comparative Study between the Discrete-Frequency Kalman Filtering and the Discrete-Time Kalman Filtering with Application in Noise Reduction in Speech Signals Journal of Electrical and Computer Engineering |
| title | Comparative Study between the Discrete-Frequency Kalman Filtering and the Discrete-Time Kalman Filtering with Application in Noise Reduction in Speech Signals |
| title_full | Comparative Study between the Discrete-Frequency Kalman Filtering and the Discrete-Time Kalman Filtering with Application in Noise Reduction in Speech Signals |
| title_fullStr | Comparative Study between the Discrete-Frequency Kalman Filtering and the Discrete-Time Kalman Filtering with Application in Noise Reduction in Speech Signals |
| title_full_unstemmed | Comparative Study between the Discrete-Frequency Kalman Filtering and the Discrete-Time Kalman Filtering with Application in Noise Reduction in Speech Signals |
| title_short | Comparative Study between the Discrete-Frequency Kalman Filtering and the Discrete-Time Kalman Filtering with Application in Noise Reduction in Speech Signals |
| title_sort | comparative study between the discrete frequency kalman filtering and the discrete time kalman filtering with application in noise reduction in speech signals |
| url | http://dx.doi.org/10.1155/2018/1895190 |
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