Multiple position room response equalization: Frequency domain prototype design strategies

A. Carini, I. Omiciuolo, G. Sicuranza
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引用次数: 10

Abstract

In this paper we consider an alternative to the multiple position room response equalization technique developed by Bharitkar and Kyriakakis. In fact, the original approach proposed by Bharitkar and Kyriakakis works in the time domain and employs a fuzzy c-means clustering algorithm for combining multiple measures of the room response into a single prototype response used for the equalizer design. Recently, by working in the frequency domain we have derived an efficient implementation of the room response equalization technique that avoids many onerous operations of the approach of Bharitkar and Kyriakakis. In this paper, we discuss different techniques that can replace the fuzzy c-means clustering algorithm in the derivation of the prototype room response. The techniques we discuss naturally arise from the frequency domain implementation of the room response equalization system. In addition, they have a much lower computational complexity than the fuzzy c-means clustering. In all our experiments, the equalization performances of the system equipped with the proposed prototype design techniques have been at least similar to those of the original approach of Bharitkar and Kyriakakis.
多位置室响应均衡:频域原型设计策略
在本文中,我们考虑了由Bharitkar和Kyriakakis开发的多位置室响应均衡技术的替代方案。事实上,Bharitkar和Kyriakakis提出的原始方法在时域内工作,并采用模糊c均值聚类算法,将房间响应的多个度量组合成用于均衡器设计的单个原型响应。最近,通过频域研究,我们推导出一种有效的室内响应均衡技术,避免了Bharitkar和Kyriakakis方法的许多繁重操作。在本文中,我们讨论了不同的技术,可以取代模糊c均值聚类算法在推导原型房间响应。我们讨论的技术自然来自于房间响应均衡系统的频域实现。此外,它们比模糊c均值聚类具有更低的计算复杂度。在我们所有的实验中,配备了所提出的原型设计技术的系统的均衡性能至少与Bharitkar和Kyriakakis的原始方法相似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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