Back to search

Article

A mixed generative model of auditory word repetition

2022-01-21

Abstract excerpt

In this paper, we introduce a word repetition generative model (WORM), which—when combined with an appropriate belief updating scheme—is capable of inferring the word that should be spoken when presented with an auditory cue. Our generative model takes a deep temporal form, combining both discrete and continuous states. This allows a (synthetic) WORM agent to perform categorical inference on continuous acoustic si...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
5d99157d-bbe1-563b-a086-b88704002751
DOI
10.1101/2022.01.20.477138
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A mixed generative model of auditory word repetitionDOI 10.1101/2022.01.20.477138
Select a neighboring publication to make it the new centre.