Adaptive multiresolution speech enhancement algorithm based on wavelet transform
| Autor: | Zheng Yuanjin, Li Lemin, Wen Maosheng |
|---|---|
| Rok vydání: | 1999 |
| Předmět: |
business.industry
Computer science Speech recognition Stationary wavelet transform Multiresolution analysis Second-generation wavelet transform Wavelet transform Pattern recognition Data_CODINGANDINFORMATIONTHEORY Adaptive filter Speech enhancement Noise Wavelet Computer Science::Sound Artificial intelligence Electrical and Electronic Engineering business |
| Zdroj: | Journal of Electronics (China). 16:97-103 |
| ISSN: | 1993-0615 0217-9822 |
| DOI: | 10.1007/s11767-999-1028-9 |
| Popis: | In this paper, an adaptive multiresolution speech enhancement algorithm based on wavelet transform is put forward. It can make adaptive filtering to noise speech both at scales and among scales. So that the noise parts during the frequency intervals which decrease hearing quality mostly are reduced efficiently. Both the SNR and subject hearing quality of denoised speech are high and good. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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