onze_intercepts_full {nzilbb.vowels} | R Documentation |
Speaker random intercepts for 418 ONZE speakers
Description
A dataset containing the speaker intercepts extracted from GAMM models fit in Brand et al. (2021).
Usage
onze_intercepts_full
Format
A data frame with 481 rows and 21 variables:
- speaker
Anonymised speaker code.
- F1_DRESS
Speaker intercept from GAMM model of DRESS F1.
- F2_DRESS
Speaker intercept from GAMM model of DRESS F2.
- F1_FLEECE
Speaker intercept from GAMM model of FLEECE F1.
- F2_FLEECE
Speaker intercept from GAMM model of FLEECE F2.
- F1_GOOSE
Speaker intercept from GAMM model of GOOSE F1.
- F2_GOOSE
Speaker intercept from GAMM model of GOOSE F2.
- F1_KIT
Speaker intercept from GAMM model of KIT F1.
- F2_KIT
Speaker intercept from GAMM model of KIT F2.
- F1_LOT
Speaker intercept from GAMM model of LOT F1.
- F2_LOT
Speaker intercept from GAMM model of LOT F2.
- F1_NURSE
Speaker intercept from GAMM model of NURSE F1.
- F2_NURSE
Speaker intercept from GAMM model of NURSE F2.
- F1_START
Speaker intercept from GAMM model of START F1.
- F2_START
Speaker intercept from GAMM model of START F2.
- F1_STRUT
Speaker intercept from GAMM model of STRUT F1.
- F2_STRUT
Speaker intercept from GAMM model of STRUT F2.
- F1_THOUGHT
Speaker intercept from GAMM model of THOUGHT F1.
- F2_THOUGHT
Speaker intercept from GAMM model of THOUGHT F2.
- F1_TRAP
Speaker intercept from GAMM model of TRAP F1.
- F2_TRAP
Speaker intercept from GAMM model of TRAP F2.
Source
References
Brand, James, Jen Hay, Lynn Clark, Kevin Watson & Márton Sóskuthy (2021): Systematic co-variation of monophthongs across speakers of New Zealand English. Journal of Phonetics. Elsevier. 88. 101096. doi:10.1016/j.wocn.2021.101096