高保真7阶全向声学脉冲响应数据集，用于复杂室内场景的声学算法研究。
HiFi-HARP: A High-Fidelity 7th-Order Ambisonic Room Impulse Response Dataset
- 混合仿真生成超10万条7阶全向声学脉冲响应。
- 低频用波模拟（≤900Hz），高频用射线追踪，兼顾精度与效率。
- 适合做空间音频渲染、声源定位和去混响等声学算法研究。
我们提出HiFi-HARP，一个大规模的7阶高阶全向声学脉冲响应（HOA-RIRs）数据集，包含超过10万条通过混合声学仿真生成的真实室内场景响应。该数据集结合了3D-FRONT仓库中的几何复杂且带家具的房间模型与混合仿真流程：低于900 Hz的低频采用波基仿真（有限差分时域法），高于900 Hz的高频则使用射线追踪方法。原始RIR经过球谐域编码（AmbiX ACN）后可直接用于听觉化。相比以往工作，本数据集首次实现了7阶全向声学脉冲响应在真实房间内容下的波理论精确性融合。文中详细描述了生成流程（场景与材料选择、阵列设计、混合仿真、全向编码），并提供统计信息（房间体积、混响时间分布、吸声属性）。对比表格突显了其创新性。未来可用于FOA到HOA上采样、声源定位、去混响等基准任务。同时探讨了机器学习应用（空间音频渲染、声学参数估计）及局限性（如仿真近似、静态场景）。总体而言，HiFi-HARP为复杂环境下的空间音频与声学算法开发提供了丰富资源。
原文摘要 · Abstract (English)
We introduce HiFi-HARP, a large-scale dataset of 7th-order Higher-Order Ambisonic Room Impulse Responses (HOA-RIRs) consisting of more than 100,000 RIRs generated via a hybrid acoustic simulation in realistic indoor scenes. HiFi-HARP combines geometrically complex, furnished room models from the 3D-FRONT repository with a hybrid simulation pipeline: low-frequency wave-based simulation (finite-difference time-domain) up to 900 Hz is used, while high frequencies above 900 Hz are simulated using a ray-tracing approach. The combined raw RIRs are encoded into the spherical-harmonic domain (AmbiX ACN) for direct auralization. Our dataset extends prior work by providing 7th-order Ambisonic RIRs that combine wave-theoretic accuracy with realistic room content. We detail the generation pipeline (scene and material selection, array design, hybrid simulation, ambisonic encoding) and provide dataset statistics (room volumes, RT60 distributions, absorption properties). A comparison table highlights the novelty of HiFi-HARP relative to existing RIR collections. Finally, we outline potential benchmarks such as FOA-to-HOA upsampling, source localization, and dereverberation. We discuss machine learning use cases (spatial audio rendering, acoustic parameter estimation) and limitations (e.g., simulation approximations, static scenes). Overall, HiFi-HARP offers a rich resource for developing spatial audio and acoustics algorithms in complex environments.
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