Inferring Shape and Material from Sound
Humans infer rich knowledge of objects from both auditory and visual cues. Building a machine of such competency, however, is very challenging. One possible solution is to rely on supervised learning, which requires a large-scale dataset containing sounds of various objects, with clean labels on the...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/139579 |