Description Usage Arguments Details Value Warning Author(s) References See Also
Normalizes acoustic vowel formant data using Lobanov Method.
1 | norm.lobanov(vowels, f1.all.mean=NA, f2.all.mean=NA)
|
vowels |
a required dataframe of the format: speaker_id, vowel_id, context, F1, F2, F3, F1_glide, F2_glide, F3_glide. The context column and glide columns must exist but can be empty. |
f1.all.mean |
while it is not recommended that you supply values for f1.all.mean and f2.all.mean, doing so will override the speaker intrinsic generation of the mean formant values for the current speaker. |
f2.all.mean |
see above. |
Lobanov's method was one of the earlier vowel-extrinsic formulas to appear, but it remains among the best. The implementation here follows Nearey (1977) and Adank et al. (2004).
A data frame in the format: speaker_id, vowel_id, F1', F2', F1'gl, F2'gl, with the attributes "no.f3s" == TRUE, "norm.method" == "Lobanov"
The development of the library and this function are ongoing. The arguments to the function may change in future version.
Kendall, Tyler <tsk@uoregon.edu>
Thomas, Erik R. and Tyler Kendall. 2007. NORM: The vowel normalization and plotting suite. [ Online Resource: http://lingtools.uoregon.edu/norm/ ]
Adank, Patti, Smits, Roel, and van Hout, Roeland. 2004. A comparison of vowel normalization procedures for language variation research. Journal of the Acoustical Society of America 116:3099-107.
Lobanov, B. M. 1971. Classification of Russian vowels spoken by different listeners. Journal of the Acoustical Society of America 49:606-08.
Nearey, Terrance M. 1977. Phonetic Feature Systems for Vowels. Dissertation, University of Alberta. Reprinted 1978 by the Indiana University Linguistics Club.
norm.bark
, norm.labov
, norm.nearey
, norm.wattfabricius
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