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 |
|---|---|
| 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: 18 Sep 2022 → 22 Sep 2022 |
Keywords
- /ɹ/
- child speech
- clinical speech
- mispronunciation detection
- open access dataset