Nonlinear spectral subtraction method for colored noise reduction using multi-band Bark scale
| Autor: | Nicolae Vizireanu, Silviu Ciochina, Simona Halunga, Radu Mihnea Udrea |
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| Rok vydání: | 2008 |
| Předmět: |
Signal processing
Engineering Audio signal business.industry Noise reduction Acoustics Speech recognition Signal law.invention Colored Dark-frame subtraction Computer Science::Sound Control and Systems Engineering Colors of noise law Signal Processing Bark scale Computer Vision and Pattern Recognition Electrical and Electronic Engineering business Software |
| Zdroj: | Signal Processing. 88:1299-1303 |
| ISSN: | 0165-1684 |
| DOI: | 10.1016/j.sigpro.2007.11.023 |
| Popis: | We propose an improved spectral subtraction method for the reduction of colored acoustic noise added to the speech in a helicopter cockpit or in a car caused by the engine sound. Our implementation uses an over-estimation subtraction method for spectral subtraction. The noise signal does not affect uniformly the speech signal over the whole spectrum. A nonlinear multi-band Bark scale frequency spacing approach is proposed to reduce the colored noise. Simulations show a better quality in terms of Itakura-Saito distance and perceptual evaluation of quality for the enhanced speech. |
| Databáze: | OpenAIRE |
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