基于多同心平面圆阵列的三维室内传递函数参数化

IF 4.1 2区 计算机科学 Q1 ACOUSTICS
Lu Li;Maoshen Jia;Changchun Bao
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引用次数: 0

摘要

本研究提出了一种基于多个同心平面圆阵列的三维房间传递函数(RTF)参数化方法,该方法对接收器和声源位置的变化具有鲁棒性。根据波方程的谐波解,房间内两个球形区域(声源和接收器)之间的 RTF 可表示为球形谐波的加权和,其权重系数可作为 RTF 参数,通过在声源和接收器区域分别放置由单极声源对(MSP)和全向麦克风对(OMP)组成的多个同心平面圆阵列,可估算出 RTF 参数。我们使用 MSP 阵列来生成源自声源区域的所需外向声场。我们推导出一种使用 OMP 阵列估算隐藏在捕获声场中的 RTF 参数的方法,该方法可用于重建从声源区域任意点到接收区域任意点的 RTF。通过模拟测试验证了 RTF 参数化方法的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Three-Dimensional Room Transfer Function Parameterization Based on Multiple Concentric Planar Circular Arrays
This study proposes a three-dimensional room transfer function (RTF) parameterization method based on multiple concentric planar circular arrays, which exhibits robustness to variations in the positions of both the receiver and source. According to the harmonic solution to the wave equation, the RTFs between two spherical regions (sound source and receiver) in a room can be expressed as a weighted sum of spherical harmonics, whose weight coefficients serve as the RTF parameters, which can be estimated by placing multiple concentric planar circular arrays composed of monopole-source pairs (MSPs) and multiple concentric planar circular arrays composed of omnidirectional-microphone pairs (OMPs) in respective source and receiver regions. We use MSP arrays to generate required outgoing soundfields originating from a source region. We derive a method to use OMP arrays to estimate RTF parameters that are concealed within the captured soundfield, which can be employed to reconstruct the RTF from any point in the source region to any point in the receiver region. The accuracy of the RTF parameterization method is validated through simulation testing.
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来源期刊
IEEE/ACM Transactions on Audio, Speech, and Language Processing
IEEE/ACM Transactions on Audio, Speech, and Language Processing ACOUSTICS-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
11.30
自引率
11.10%
发文量
217
期刊介绍: The IEEE/ACM Transactions on Audio, Speech, and Language Processing covers audio, speech and language processing and the sciences that support them. In audio processing: transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. In speech processing: areas such as speech analysis, synthesis, coding, speech and speaker recognition, speech production and perception, and speech enhancement. In language processing: speech and text analysis, understanding, generation, dialog management, translation, summarization, question answering and document indexing and retrieval, as well as general language modeling.
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