LDL-AURIS: a computational model, grounded in error-driven learning, for the comprehension of single spoken words
A computational model for the comprehension of single spoken words is presented that builds on an earlier model using discriminative learning. Real-valued features are extracted from the speech signal instead of discrete features. Vectors representing word meanings using one-hot encoding are replace...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Routledge
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |