Analysis of Time-Varying System Identification Using the Normalized Least Mean Square Algorithm in the Context of Data-Based Binaural Synthesis
Analysis of Time-Varying System Identification Using the Normalized Least Mean Square Algorithm in the Context of Data-Based Binaural Synthesis
复制标题
基于数据的双耳合成背景下使用归一化最小均方算法的时变系统辨识分析
DOI：
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发表时间：
2016
期刊：
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通讯作者：
S. Spors
中科院分区：
文献类型：
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作者：
Nara Hahn;S. Spors
时变声学系统的脉冲响应可以通过连续测量技术来测量。在这种测量中，系统被周期性信号连续激励，同时系统随时间变化，例如源或接收器的移动。系统的响应由麦克风捕获，并且从麦克风信号计算瞬时脉冲响应。由于其时间效率，连续测量方法用于（i）测量大量的声学脉冲响应，例如空间房间脉冲响应[1，2]或头部相关脉冲响应[3]。在测量期间，接收器（麦克风或仿真头）在预定的轨迹上移动。根据所需的空间分辨率，可以提取任意数量的脉冲响应，并进一步用于声场分析或双耳合成[4，5]。连续测量技术的第二个应用是（ii）动态听觉场景的可听化[6]。对于基于数据的双耳合成，例如，测量双耳房间脉冲响应（BRIR），并且通过利用时变BRIR对干源信号进行滤波来生成耳信号。在这种情况下，不仅要考虑各个脉冲响应的精度，而且要考虑合成结果的瞬态特性。
The impulse response of a time-varying acoustic system can be measured by a continuous measurement technique. In such a measurement, a system is continuously excited by a periodic signal while the system changes over time, e.g. movement of source or receiver. The response of the system is captured by a microphone and the instantaneous impulse responses are computed from the microphone signal. Due to its time efficiency, continuous measurement methods are used for (i) the measurement of a large number of acoustic impulse responses e.g. spatial room impulse responses [1, 2] or head-related impulse responses [3]. During the measurement, the receiver (microphone or dummy head) moves on a predetermined trajectory. Depending on the required spatial resolution, an arbitrary number of impulse responses can be extracted and further used for sound field analysis or binaural synthesis [4, 5]. The second application of a continuous measurement technique is (ii) the auralization of dynamic auditory scenes [6]. For data-based binaural synthesis, for instance, binaural room impulse responses (BRIRs) are measured, and the ear signals are generated by filtering a dry source signal with the timevarying BRIRs. In this case, not only the accuracy of the individual impulse responses, but also the transient properties of the synthesized result have to be taken into account.