qb_intervals {nzilbb.vowels} | R Documentation |
Formant and amplitude for intervals of QuakeBox monologues
Description
QuakeBox monologues are divided into intervals of fixed length within mean
values are calcualted for formants, amplitude, and articulation rate. Data
from 77 speakers is provide (the same sample as qb_vowels
).
Usage
qb_intervals
Format
A data frame with 53940 rows and 10 variables:
- interval_length
Length of interval in seconds.
- speaker
Anonymised speaker code (char).
- interval
Time in seconds at which interval ends.
- articulation_rate
Mean articulation rate within interval.
- amplitude
Mean maximum amplitude within interval.
- DRESS_F1
Speaker intercept from GAMM model of DRESS F1.
- DRESS_F2
Speaker intercept from GAMM model of DRESS F2.
- FLEECE_F1
Speaker intercept from GAMM model of FLEECE F1.
- FLEECE_F2
Speaker intercept from GAMM model of FLEECE F2.
- GOOSE_F1
Speaker intercept from GAMM model of GOOSE F1.
- GOOSE_F2
Speaker intercept from GAMM model of GOOSE F2.
- KIT_F1
Speaker intercept from GAMM model of KIT F1.
- KIT_F2
Speaker intercept from GAMM model of KIT F2.
- LOT_F1
Speaker intercept from GAMM model of LOT F1.
- LOT_F2
Speaker intercept from GAMM model of LOT F2.
- NURSE_F1
Speaker intercept from GAMM model of NURSE F1.
- NURSE_F2
Speaker intercept from GAMM model of NURSE F2.
- START_F1
Speaker intercept from GAMM model of START F1.
- START_F2
Speaker intercept from GAMM model of START F2.
- STRUT_F1
Speaker intercept from GAMM model of STRUT F1.
- STRUT_F2
Speaker intercept from GAMM model of STRUT F2.
- THOUGHT_F1
Speaker intercept from GAMM model of THOUGHT F1.
- THOUGHT_F2
Speaker intercept from GAMM model of THOUGHT F2.
- TRAP_F1
Speaker intercept from GAMM model of TRAP F1.
- TRAP_F2
Speaker intercept from GAMM model of TRAP F2.
Details
Two interval lengths are given: 60 seconds and 240 seconds.
Formant data is z-scored by speaker and vowel, while the amplitude and articulation rate are z-scored by speaker.
Original data was generated for Wilson Black et al. (2023).
Source
References
Wilson Black, Joshua, Jennifer Hay, Lynn Clark & James Brand (2023): The overlooked effect of amplitude on within-speaker vowel variation. Linguistics Vanguard. Walter de Gruyter GmbH. 9(1). 173–189. doi:10.1515/lingvan-2022-0086