norm.lobanov {vowels}

Normalize Vowels with Lobanov Method

Description

Normalizes acoustic vowel formant data using Lobanov Method.

Usage

norm.lobanov(vowels, f1.all.mean=NA, f2.all.mean=NA)

Arguments

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.

Details

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).

Value

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"

Warning

The development of the library and this function are ongoing. The arguments to the function may change in future version.

Author(s)

Kendall, Tyler <[e-mail]>

References

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.

See Also

norm.bark, norm.labov, norm.nearey, norm.wattfabricius