Table 2.
Speech tasks and resultant quantitative speech measures.
| Task | Tokens | Measure | Abbreviation | Acoustic vs. kinematic | Derivation |
|---|---|---|---|---|---|
| DDK | AMR: /bʌbʌbʌ/ SMR: /bʌdʌgʌ/ |
Duration, AMR | dur_AMR | Kinematic | Auto-extract all variables (Rong et al., 2018) |
| Duration, SMR | dur_SMR | ||||
| # cycles, AMR | ncyc_AMR | Kinematic | |||
| # cycles, SMR | ncyc_SMR | ||||
| Maximum velocity, AMR | vel_AMR | Kinematic | |||
| Spatiotemporal index, SMR | sti_SMR | Kinematic | |||
| Rate, AMR | rate_AMR | Kinematic | Formula: |
||
| Rate, SMR | rate_SMR | ||||
| Rate, AMR vs. SMR | rate_AMR.SMR | Formula: |
|||
| Maximum phonation | /ah/ | Duration | dur_ah | Acoustic | Auto-extract duration following manual TextGrid parsing (Podgornik, 2011) |
| Cepstral peak prominence | cpp | Acoustic | Auto-extract cpps (Maryn & Weenink, 2015) | ||
| CVC repetition | /bit/, /bæt/, /but/ (×3, randomized) |
Formant centralization ratio | fcr | Acoustic | Supervised extraction of F1, F2 following manual TextGrid parsing (McCloy, 2012/2018) Formula: |
| Multisyllabic word repetition | Weak–strong: <banana>, <computer>, <potato>, <pagoda>, <thermometer> (×2, randomized) |
Pairwise variability index, weak–strong | pvi_ws | Acoustic | Auto-extract duration following manual TextGrid parsing of the first (V1) and second vowels (V2; (Podgornik, 2011) Formula: 100 |
| Strong–weak: <stethoscope>, <butterfly>, <bicycle>, <dinosaur>, <caterpillar> (×2, randomized) |
Pairwise variability index, strong–weak | pvi_sw | |||
| Picture description | WAB picnic scene picture | Articulation rate | articrate | Acoustic | Auto-extract total speech duration; manual syllable count (Green et al., 2004) Formula: |
Note. DDK = diadochokinesis; AMR = alternating motion rate; SMR = sequential motion rate; CVC = consonant–vowel–consonant; WAB = Western Aphasia Battery.