title: SoundCam: A Dataset for Finding Humans Using Room Acoustics
summary: A room's acoustic properties are a product of the room's geometry, 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 roughly inferred from recordings of natural signals
  present in the room. Variations in the positions of objects in a room can
  effect measurable changes in the room's acoustic properties, as characterized
  by the RIR. Existing datasets of RIRs either do not systematically vary
  positions of objects in an environment, or they consist of only simulated RIRs.
  We present SoundCam, the largest dataset of unique RIRs from in-the-wild rooms
  publicly released to date. 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 humans, and tracking their positions.
paper_authors._id: 654b0f739b8bd6406d649932
paper_authors.name: Mason Wang
paper_authors._id: 654b0f739b8bd6406d649933
paper_authors.name: Samuel Clarke
paper_authors.status: extracted_pending
paper_authors.statusLastChangedAt: 2024-02-27T02:16:37.497Z
paper_authors._id: 65dd45f0e49018d07b9f0eff
paper_authors.avatarUrl: /avatars/6aba9a5fa7f2aaf50d483e78be724b90.svg
paper_authors.fullname: Samuel Clarke
paper_authors.type: user
paper_authors.user: spclarke
paper_authors._id: 654b0f739b8bd6406d649934
paper_authors.name: Jui-Hsien Wang
paper_authors._id: 654b0f739b8bd6406d649935
paper_authors.name: Ruohan Gao
paper_authors._id: 654b0f739b8bd6406d649936
paper_authors.name: Jiajun Wu
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-11-08T08:52:22.355Z
paper_authors._id: 647b7b8345616c3de3627863
paper_authors.avatarUrl: /avatars/8196364bffed71086ba9a0a4a62027d3.svg
paper_authors.fullname: Jiajun Wu
paper_authors.type: user
paper_authors.user: jiajunwu
paper_title: SoundCam: A Dataset for Finding Humans Using Room Acoustics
paper_summary: A room's acoustic properties are a product of the room's geometry, 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 roughly inferred from recordings of natural signals
  present in the room. Variations in the positions of objects in a room can
  effect measurable changes in the room's acoustic properties, as characterized
  by the RIR. Existing datasets of RIRs either do not systematically vary
  positions of objects in an environment, or they consist of only simulated RIRs.
  We present SoundCam, the largest dataset of unique RIRs from in-the-wild rooms
  publicly released to date. 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 humans, and tracking their positions.
paper_ai_keywords: impulse response (RIR) real-world measurements room impulse responses in-the-wild detecting and identifying humans tracking their positions