https://github.com/tjmahr/motorspeech2022
Poster for our presentation at the 2022 Motor Speech conference in Charleston, SC.
https://github.com/tjmahr/motorspeech2022
Last synced: 3 months ago
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Poster for our presentation at the 2022 Motor Speech conference in Charleston, SC.
- Host: GitHub
- URL: https://github.com/tjmahr/motorspeech2022
- Owner: tjmahr
- License: gpl-3.0
- Created: 2022-02-21T16:17:59.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-02-22T19:38:07.000Z (about 3 years ago)
- Last Synced: 2025-02-24T13:56:38.470Z (3 months ago)
- Language: TeX
- Size: 10.4 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Motorspeech2022
Poster for our presentation at the 2022 Motor Speech conference in Charleston, SC.
### Abstract
Speech perception is a probabilistic process, integrating bottom-up and
top-down sources of information, and the frequency or structure of a
word can predict how well it is perceived. Therefore, instead of asking
how intelligible speakers are, it is also important to ask how
intelligible individual words are. For this study, we measured the
intelligibility of 165 children between 30 and 47 months in age on 38
different words and asked how words varied in intelligibility and
whether word-level characteristics (frequency, phonotactic probability,
motor complexity) predicted intelligibility. An item-response analysis
showed that there was considerable variation in individual words with a
reliable effect of frequency such that higher frequency words were more
intelligible.
### Disclosure
Tristan Mahr worked on this project while employed by the UW-Madison
Waisman Center. He has no relevant nonfinancial relationships to
disclose.
Katherine Hustad received a research grant from the NIH to collect these
data. She has no relevant nonfinancial relationships to disclose.