基于声源分离的虚拟低音增强算法

发布时间：2018-10-16 17:48

【摘要】：本文提出了一种基于声源分离理论的虚拟低音增强算法。文章分析了传统虚拟低音增强算法的处理过程,发现对声源中不同频率成分的处理效果不统一,对最终的低音增强效果影响很大。所以结合声源分离思想提出了一种新型的虚拟低音增强算法,在低音增强前对声源进行瞬态稳态成分分离处理,可以减小失真并提高低音增强效果。仿真实验表明相比于传统虚拟低音增强算法,本文所提算法所耗时间更短,并且低音效果和音质也更好,对虚拟低音增强技术的推广有重要意义。
[Abstract]:In this paper, a virtual bass enhancement algorithm based on sound source separation theory is proposed. In this paper, the processing process of traditional virtual bass enhancement algorithm is analyzed. It is found that the processing effect of different frequency components in the sound source is not uniform, and it has a great influence on the final bass enhancement effect. Therefore, a new virtual bass enhancement algorithm is proposed based on the idea of source separation. The transient steady state component separation of the sound source before the bass enhancement can reduce the distortion and improve the bass enhancement effect. Simulation results show that compared with the traditional virtual bass enhancement algorithm, the proposed algorithm takes less time, and the bass effect and sound quality are better, which is of great significance to the promotion of virtual bass enhancement technology.
【作者单位】：上海大学通信与信息工程学院;
【基金】：国家自然科学基金(61571279)
【分类号】：TN912.35;TN643

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