Abstract
We present the PERCEPT-R corpus, a labeled corpus of child speakers of American English with typical speech and residual speech sound disorders affecting rhotics. We demonstrate the utility of age-and-gender normalized formants extracted from PERCEPT-R in training support vector classifiers to predict ground-truth perceptual judgments of “rhotic” (i.e., dialect-typical) and clinical “derhotic”/ɹ/for novel speakers (mean of participant-specific f-metrics=.83; SD =.18, N = 281).
Original language | English (US) |
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Pages (from-to) | 3648-3652 |
Number of pages | 5 |
Journal | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH |
Volume | 2022-September |
DOIs | |
State | Published - 2022 |
Event | 23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 - Incheon, Korea, Republic of Duration: Sep 18 2022 → Sep 22 2022 |
Keywords
- /ɹ/
- child speech
- clinical speech
- mispronunciation detection
- open access dataset
ASJC Scopus subject areas
- Language and Linguistics
- Human-Computer Interaction
- Signal Processing
- Software
- Modeling and Simulation