基于声源分离的虚拟低音增强算法

Virtual Bass System Based on Audio Source Separation

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。

In this paper a virtual bass system based on audio source separation is proposed. The process of traditional virtual bass system is analysis and we found that the bass performance of different frequency components is not the same. That impact the performance of bass enhancement greatly. In order to save the distortion and improve the bass effect we propose a new virtual bass system based on audio source separation. We separate harmonic and percussive component apart before virtual bass generated. Experiment shows the system we proposed has better bass effect and quality with less computation time compare with the traditional method.