| Autor: |
Zhang Shenghuan, Cheng Ye |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Journal of Intelligent Systems, Vol 31, Iss 1, Pp 420-427 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2191-026X |
| DOI: |
10.1515/jisys-2022-0024 |
| Popis: |
Noise will be inevitably mixed with music signals in the recording process. To improve the quality of music signals, it is necessary to reduce noise as much as possible. This article briefly introduces noise, the masking effect, and the spectral subtraction method for reducing noise in reverberant music. The spectral subtraction method was improved by the human ear masking effect to enhance its noise reduction performance. Simulation experiments were carried out on the traditional and improved spectral subtraction methods. The results showed that the improved spectral subtraction method could reduce the noise in reverberant music more effectively; under an objective evaluation criterion, the signal-to-noise ratio, the de-reverberated music signal processed by the improved spectral subtraction method had a higher signal-to-noise ratio; under a subjective evaluation criterion, mean opinion score (MOS), the de-reverberated music signal processed by the improved spectral subtraction method also had a better evaluation. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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