HOMULA-RIR: A Room Impulse Response Dataset for Teleconferencing and Spatial Audio Applications Acquired Through Higher-Order Microphones and Uniform Linear Microphone Arrays

In this paper, we present HOMULA-RIR, a dataset of room impulse responses (RIRs) acquired using both higher-order microphones (HOMs) and a uniform linear array (ULA), in order to model a remote attendance teleconferencing scenario. Specifically, measurements were performed in a seminar room, where a 64-microphone ULA was used as a multichannel audio acquisition system in the proximity of the speakers, while HOMs were used to model 25 attendees actually present in the seminar room. The HOMs cover a wide area of the room, making the dataset suitable also for applications of virtual acoustics. Through the measurement of the reverberation time and clarity index, and sample applications such as source localization and separation we demonstrate the effectiveness of the HOMULA-RIR dataset.本研究提出HOMULA-RIR数据集，该数据集包含同时使用高阶麦克风（higher-order microphones, HOMs）与均匀线列阵（uniform linear array, ULA）采集的房间冲激响应（room impulse responses, RIRs），旨在模拟远程参会电话会议场景。具体而言，本次数据采集工作在一间研讨教室中开展：以64通道均匀线列阵作为多通道音频采集系统布置于发言者附近，同时使用高阶麦克风模拟该研讨教室内实际到场的25名参会者。高阶麦克风覆盖了教室的广阔区域，使得该数据集同样适用于虚拟声学相关应用。通过对混响时间与清晰度指数的测量，以及声源定位、声源分离等典型应用实验，我们验证了HOMULA-RIR数据集的有效性。