Peter Uhrig

LDL-AURIS: A computational model, grounded in error-driven learning, for the comprehension of single spoken words

2020

A computational model for auditory word recognition is presented that enhances the model of Arnold et al. (2017). Real-valued features are extracted from the speech signal instead of discrete features. One-hot encoding for words’ meanings …

LDL-AURIS: a computational model, grounded in error-driven learning, for the comprehension of single spoken words

2021 · Language Cognition and Neuroscience

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 …