Study on Loudspeaker Equalization with the Linear Prediction

Cai Yangsheng, Miao Yuan, Huang Wei, Yang Bolan
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Abstract

Linear prediction code (LPC) has been applied not only on speech processing but also loudspeaker equalization. There are shortcomings processing low frequency and overcome by warped frequency. A loudspeaker system has been equalized by LPC and warped-frequency linear prediction (WLPC), three conclusions have been drawn. First, LPC has higher frequency resolution and lower effective frequency with more orders. Secondly, WLPC processes low frequency better than LPC with the same order, and it has some better equalized results with more orders. Thirdly, both methods maybe determine incorrectly the “peak and valley” if orders are not enough and lose optimum equalized results.
基于线性预测的扬声器均衡化研究
线性预测码(LPC)不仅应用于语音处理,也应用于扬声器均衡。但在低频处理方面存在不足,可以通过扭曲频率来克服。用LPC和扭曲频率线性预测(WLPC)对扬声器系统进行了均衡,得到了三个结论。首先,LPC具有更高的频率分辨率和更低的有效频率。其次,WLPC对低频的处理优于同阶LPC,且阶数越多,均衡性越好。第三,如果阶数不够,两种方法都可能不正确地确定“峰谷”,从而失去最优均衡结果。
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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