用子空间正交性补全麦克风阵列的传递函数,提升多人声源定位精度。
Completing Sets of Prototype Transfer Functions for Subspace-based Direction of Arrival Estimation of Multiple Speakers
- 利用子空间正交性推导缺失的传递函数,实现部分校准阵列的补全。
- 在混响噪声环境下,对两个说话人定位误差显著降低。
- 适合助听器等实际部署中无法完全校准的麦克风系统。
为估计多个说话人的到达方向(DOA),常采用基于子空间的原型传递函数匹配方法,如多重信号分类(MUSIC)或相对传递函数(RTF)向量匹配。这些方法通常需要已校准的麦克风阵列,即已知阵列几何结构或若干方向上的已知原型传递函数。本文考虑一种部分校准的麦克风阵列,由一个已校准的双耳助听器和一个位置未知、无原型传递函数的外部麦克风组成。提出一种基于子空间正交性的方法,完成原型传递函数集的补全,从而可在部分校准阵列上应用匹配类DOA估计方法。针对MUSIC与RTF向量匹配方法,在含噪混响环境中对两名说话人的实验表明,无论外部麦克风位于何处,使用补全后的传递函数集均可更准确地估计DOA,优于使用不完整集的结果。
原文摘要 · Abstract (English)
To estimate the direction of arrival (DOA) of multiple speakers, subspace-based prototype transfer function matching methods such as multiple signal classification (MUSIC) or relative transfer function (RTF) vector matching are commonly employed. In general, these methods require calibrated microphone arrays, which are characterized by a known array geometry or a set of known prototype transfer functions for several directions. In this paper, we consider a partially calibrated microphone array, composed of a calibrated binaural hearing aid and a (non-calibrated) external microphone at an unknown location with no available set of prototype transfer functions. We propose a procedure for completing sets of prototype transfer functions by exploiting the orthogonality of subspaces, allowing to apply matching-based DOA estimation methods with partially calibrated microphone arrays. For the MUSIC and RTF vector matching methods, experimental results for two speakers in noisy and reverberant environments clearly demonstrate that for all locations of the external microphone DOAs can be estimated more accurately with completed sets of prototype transfer functions than with incomplete sets. \c{opyright}20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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