Shape and material from sound
Name
6727-shape-and-material-from-sound.pdf
Description
Published version
Size
2.77 MB
Format
Adobe PDF
Checksum (MD5)
a7240c5963d9c8c700c1147609103e93
Author(s)
Zhang, Zhoutong
Li, Qiujia
Huang, Zhengjia
Wu, Jiajun
Tenenbaum, Joshua B.
Freeman, William T.
Date Issued
2017
Journal
Advances in Neural Information Processing Systems
Publisher
Neural Information Processing Systems Foundation
Citation
Zhang, Zhoutong et al. "Shape and material from sound." Advances in Neural Information Processing Systems (NIPS 2017), 30 (2017). © 2017 Neural Information processing systems foundation
Version
Final published version
Abstract
Hearing an object falling onto the ground, humans can recover rich information including its rough shape, material, and falling height. In this paper, we build machines to approximate such competency. We first mimic human knowledge of the physical world by building an efficient, physics-based simulation engine. Then, we present an analysis-by-synthesis approach to infer properties of the falling object. We further accelerate the process by learning a mapping from a sound wave to object properties, and using the predicted values to initialize the inference. This mapping can be viewed as an approximation of human commonsense learned from past experience. Our model performs well on both synthetic audio clips and real recordings without requiring any annotated data. We conduct behavior studies to compare human responses with ours on estimating object shape, material, and falling height from sound. Our model achieves near-human performance.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://papers.nips.cc/paper/6727-shape-and-material-from-sound
