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--- |
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license: cc-by-4.0 |
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language: |
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- en |
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tags: |
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- code |
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pretty_name: SAM |
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size_categories: |
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- 10K<n<100K |
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viewer: false |
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--- |
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## Dataset Overview |
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- **Name**: SAM (Spatial Audio-driven human Motion) |
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- **Purpose**: This dataset provides paired human motion sequences and corresponding spatial audio for modeling and analysis. |
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- **Source**: Captured using a Vicon motion capture system. |
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- **Size**: Over 9 hours of recordings at 120 frames per second (FPS). |
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## Updates |
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Added `audio.txt` reference file. This file maps audio IDs to their corresponding class labels. The data is segmented by the human subject who performed the associated motions. |
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## Folder Structure |
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```text |
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SAM/ |
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|- audio/ |
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│- bvh/ |
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|- c3d/ |
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|- motion/ |
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|- retarget/ |
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|- splits/ |
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|- stereo_audio/ |
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|- ignore_list.txt |
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|- ssl.npy |
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|- subject_ids.txt |
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``` |
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- **`audio/`**: Stereo audio clips that have already been separated into left and right channels. |
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- **`bvh/`**: Raw BVH motion-capture exports from the Vicon Shogun pipeline. |
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- **`c3d/`**: Raw C3D recordings from the same capture sessions, preserved for custom processing. |
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- **`motion/`**: MOSPA-ready motion files in NPZ format, including the sound-source location in the character’s local space. |
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- **`retarget/`**: BVH files after the retargeting step, prior to conversion into the NPZ motion assets. |
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- **`splits/`**: Dataset split definitions (train/val/test) stored as three TXT files indexed by IDs. |
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- **`stereo_audio/`**: Stereo audio sequences aligned with each motion sample via shared IDs. |
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## Important Files |
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- **`ignore_list.txt`**: IDs flagged for questionable motion or audio; skip them at your discretion. |
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- **`ssl.npy`**: Global sound-source coordinates (AMASS frame). Shape `(12, 4, 3)` = 12 subjects × 4 speakers × XYZ. |
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- **`subject_ids.txt`**: Maps every motion sequence ID to its subject. |
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## How to Use This Dataset |
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Usage and baseline pipelines: [MOSPA](https://github.com/xsy27/Mospa-Acoustic-driven-Motion-Generation.git). |
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## ID Encoding |
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Each sample ID is a 7-digit token: |
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| Digits | Meaning | Values | |
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| --- | --- | --- | |
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| 0–2 | Audio clip | | |
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| 3 | Source direction | `0 front`, `1 right`, `2 left`, `3 back` | |
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| 4 | Speaker | `0 Speaker_A_R`, `1 Speaker_A_L`, `2 Speaker_B_R`, `3 Speaker_B_L` | |
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| 5 | Distance | `0 close`, `1 far` | |
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| 6 | Motion genre | `0 insensitive`, `1 neutral`, `2 sensitive` | |
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## Known Issues |
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We recommend retargeting motions yourself; raw BVH/C3D files are provided for that purpose. Some sound-source annotations contain mocap noise, so consider using the fixed global locations defined in `ssl.npy`. |
