Integrating Form and Meaning: A Multi-Task Learning Model for Acoustic Word Embeddings. (arXiv:2209.06633v2 [cs.CL] UPDATED)

Models of acoustic word embeddings (AWEs) learn to map variable-length spoken
word segments onto fixed-dimensionality vector representations such that
different acoustic exemplars of the same word are projected nearby in the
embedding space. In addition to their speech technology applications, AWE
models have been shown to predict human performance on a variety of auditory
lexical processing tasks. Current AWE models are based on neural networks and
trained in a bottom-up approach that integrates acoustic cues to build up a
word …

arxiv meaning multi-task learning word embeddings