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author:

Zhang, Shenghuan (Zhang, Shenghuan.) [1] | Cheng, Ye (Cheng, Ye.) [2]

Indexed by:

EI

Abstract:

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. © 2022 Shenghuan Zhang and Ye Cheng, published by De Gruyter.

Keyword:

Music Reverberation Signal to noise ratio

Community:

  • [ 1 ] [Zhang, Shenghuan]Music College of Jimei University, 2#604, Yindou Beili, Jimei District, Fujian; 361021, China
  • [ 2 ] [Cheng, Ye]College of Computer and Big Data Science, Fuzhou University, Fuzhou; 350008, China

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Source :

Journal of Intelligent Systems

ISSN: 0334-1860

Year: 2022

Issue: 1

Volume: 31

Page: 420-427

3 . 0

JCR@2022

2 . 1 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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