Schema Learning for the Cocktail Party Problem
Authors: | Kevin J.P. Woods & Josh H. McDermott |
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Updated: | Tue 03 April 2018 |
Source: | http://mcdermottlab.mit.edu/schema_learning/index.html |
Type: | audio files |
Languages: | N/A |
Keywords: | sound-sources, audition, schema |
Open Access: | yes |
License: | PNAS |
Publications: | Woods, K., McDermott, J. (2018). Schema learning for the cocktail party problem. Proceedings of the National Academy of Sciences of the United States of America. 115(14): E3313-E3322. https://doi.org/10.1073/pnas.1801614115 |
Citation: | Woods, K., McDermott, J. (2018). Schema learning for the cocktail party problem. Massachusetts Institute of Technology: McDermott Lab. http://mcdermottlab.mit.edu/schema_learning/index.html |
Summary: | sources from mixtures of sound. We explored whether listeners learn source “schemas”—the abstract structure shared by different occurrences of the same type of sound source—and use them to infer sources from mixtures. |