Small-sized loudspeaker equalization based SVD-Krylov model reduction and virtual bass enhancement

Yong Fang, Hecan Zou, Qinghua Huang
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引用次数: 1

Abstract

Small-sized loudspeakers due to high cutoff frequency, perform poor reproduction response, especially in low frequency. Traditional equalization methods for small-sized loudspeaker suffer from huge computational complexity when high accurate results are expected, which may lead to unacceptable time delay or pre-echo in reproduction sound. In this paper, instead of complicated low frequency equalization, virtual bass enhancement technology is introduced to restore low frequency auditory. In combination, SVD-Krylov algorithm is introduced to reduce loudspeaker model to promote the efficiency of high frequency equalization. Comparative experiments are presented and results show that the proposed approach can substantially reduce the time consumption without deterioration in accuracy of loudspeaker equalization.
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基于SVD-Krylov模型还原和虚拟低音增强的小型扬声器均衡化
小型扬声器由于截止频率高,再现性较差,特别是在低频时。传统的小型扬声器均衡方法在获得高精度结果的同时,计算量大,可能导致重放声音出现不可接受的延时或预回声。本文采用虚拟低音增强技术代替复杂的低频均衡技术来恢复低频听觉。在此基础上,引入SVD-Krylov算法对扬声器模型进行简化,提高高频均衡效率。对比实验结果表明,该方法在不影响扬声器均衡精度的前提下,大大减少了时间消耗。
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