用头相关传输函数优化麦克风阵列的立体声还原，提升虚拟现实音效精度。
Array-Aware Ambisonics and HRTF Encoding for Binaural Reproduction With Wearable Arrays
- 通过预处理头相关传输函数，融合麦克风阵列特性优化声场编码
- 在模拟可穿戴阵列和头部转动下，空间还原精度显著优于传统方法
- 兼容标准声学编码，适合虚拟/增强现实与可穿戴音频场景
本文提出一种基于阵列感知优化的声学编码方法，通过头相关传输函数（HRTF）预处理实现任意麦克风阵列的立体声还原。该方法将阵列特定信息融入HRTF处理流程，显著提升立体声渲染的空间准确性。客观评估显示，在模拟可穿戴阵列及头部旋转条件下，性能优于传统声学编码方法。听觉实验进一步验证，该方法在音色与空间质量方面的感知评分显著更高。该方案完全兼容标准声学编码，为虚拟现实、增强现实及可穿戴音频采集等应用提供实用的空间音频渲染解决方案。
原文摘要 · Abstract (English)
This work introduces a novel method for binaural reproduction from arbitrary microphone arrays, based on array-aware optimization of Ambisonics encoding through Head-Related Transfer Function (HRTF) pre-processing. The proposed approach integrates array-specific information into the HRTF processing pipeline, leading to improved spatial accuracy in binaural rendering. Objective evaluations demonstrate superior performance under simulated wearable-array and head rotations compared to conventional Ambisonics encoding method. A listening experiment further confirms that the method achieves significantly higher perceptual ratings in both timbre and spatial quality. Fully compatible with standard Ambisonics, the proposed method offers a practical solution for spatial audio rendering in applications such as virtual reality, augmented reality, and wearable audio capture.
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