声信号中音调成分的主动消除

Michal Luczynski, S. Brachmański, A. Dobrucki
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引用次数: 0

摘要

本文提出了一种消除声信号中音调分量的算法。音调分量是振幅、相位和频率随机调制的周期信号。通过添加极性相反的合成分量来主动消除单个音调分量。为了有效地做到这一点,有必要满足调整两个组件参数值的标准。否则,所述组件的液位降低可能不足,甚至可能升高。定义符合减少标准的可接受误差值是很重要的。以这种方式定义的问题允许指出方法的局限性,并创建一个数学模型,以便在分析的事件范围内预测任何情况的有效性。作为实验的一部分,用一个或多个音调成分分析信号。应用该算法得到的结果是令人满意的,表明了继续开展该工作的可取之处。在特殊条件下,开发的算法允许将音调分量减少到声学背景以下的值。
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Active elimination of tonal components in acoustic signals
In this paper algorithms for eliminating tonal components from acoustic signals are presented. The tonal components are periodic signals with randomly modulated amplitude, phase and frequency. Active elimination of a single tonal component bases on adding a synthesized component with opposite polarity. To do this effectively, it is necessary to meet the criteria for adjusting the values of the parameters for both components. Otherwise, the level reduction may be insufficient or even the level of the component may increase. It is important to define acceptable error values for which are met the reduction criteria. The problem defined in this way allows to indicate the limitations of the method and to create a mathematical model allowing to predict effectiveness for any case in the scope of the analyzed events. As part of the experiment, signals are analyzed with one or more tonal components. The obtained results of the applied algorithm are promising and show the desirability of continuing the work. In special conditions, the developed algorithm allows for reduction of tonal components to values below the acoustic background.
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