| Texto completo | |
| Autor(es): |
Levada, Alexandre L. M.
;
Correa, Debora C.
;
IEEE
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2011 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS); v. N/A, p. 4-pg., 2011-01-01. |
| Resumo | |
This paper presents a novel adaptive technique for audio signal denoising based on the extension of the pointwise Wiener filter through the minimization of the local Fisher information. The solution obtained by the resulting filter can be interpreted as a tradeoff between the minimization of the local mean square error and the minimization of the local observed Fisher information, since it is a linear convex combination of the two conditions. To evaluate the performance of the denoising task we use four quantitative metrics: the Peak Signal-To-Noise Ratio (PSNR), the Improvement in Signal-To-Noise Ratio (ISNR), the Noise-Reduction Ratio (NRR) and the Signal-To-Distortion Ratio (SDR). The obtained results show the effectiveness of the proposed generalized filter. (AU) | |
| Processo FAPESP: | 09/50142-0 - Inteligencia artificial aplicada a analise de generos musicais. |
| Beneficiário: | Débora Cristina Corrêa |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |