Chen, J. & Best, C. T. & Antoniou, M., (2023) “Phonological and phonetic contributions to Thai-naïve Mandarin and Vietnamese speakers’ imitation of Thai lexical tones: Effects of memory load and stimulus variability”, Laboratory Phonology 14(1). doi: https://doi.org/10.16995/labphon.6435
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An investigation of the dynamics of vowel nasalization in Arabana using machine learning of acoustic features
Laboratory Phonology
This paper presents exploratory research on temporally dynamic patterns of vowel nasalization from two speakers of Arabana. To derive a dynamic measure of nasality, we use gradient tree boosting algorithms to statistically learn the mapping between acoustics and vowel nasality in a speaker-specific manner. Three primary findings emerge: (1) NVN...
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Phonological and phonetic contributions to perception of non-native lexical tones by tone language listeners
Journal of Phonetics
Chen, J., Antoniou, M., & Best, C. T. (2023). Phonological and phonetic contributions to perception of non-native lexical tones by tone language listeners: Effects of memory load and stimulus variability. Journal of Phonetics, 96, 101199. https://doi.org/10.1016/j.wocn.2022.101199
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Praat
Annotated Praat learning resources
Praat is a computer program that is widely used in the field of phonetics and speech-related studies. You can use it for analysing, synthesizing, and manipulating speech data, and you can use it to plot waveforms, spectragrams, ptich contours.
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R
Annotated R learning recources
The first thing I need to do whenever I run an R workshop is to provide my participants some motivations that why they should bother learning R.
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