SoundCam: A Dataset for Tasks in Tracking and Identifying Humans from Real Room Acoustics

A room's acoustic properties are a product of the room's geometry, as well as the objects within the room and their specific positions. A room’s acoustic properties can be characterized by its impulse response (RIR) between a source and listener location, or inferred roughly from recordings of natural signals present in the room. We present SoundCam, the largest dataset of unique RIRs from in-the-wild rooms released to date publicly. It includes 5,000 10-channel real-world measurements of room impulse responses and 2,000 10-channel recordings of music in three different rooms, including a controlled acoustic lab, an in-the-wild living room, and a conference room, with different humans in positions throughout each room. We show that these measurements can be used for interesting tasks, such as detecting and identifying the human, and tracking their position. See linked project page for more details.

房间的声学特性由其几何结构、室内物体及其具体摆放位置共同决定。房间的声学特性可通过声源与接收位置间的房间冲激响应（Room Impulse Response，RIR）进行表征，也可通过室内自然信号的录音进行粗略推断。本研究提出SoundCam数据集，这是目前公开的、规模最大的真实场景房间唯一冲激响应数据集。该数据集包含5000组10通道真实房间冲激响应实测数据，以及来自3类不同房间的2000组10通道音乐录音；这3类房间分别为受控声学实验室、真实家庭客厅与会议室，且每个房间内均设置了不同位置的人类受试者。研究表明，该实测数据可用于多项有价值的任务，例如人类检测与身份识别、以及人体位置追踪。详情请参阅关联的项目页面。