Skip to main content
    • Aa
    • Aa

A comparison of three speaker-intrinsic vowel formant frequency normalization algorithms for sociophonetics

  • Anne H. Fabricius (a1), Dominic Watt (a2) and Daniel Ezra Johnson (a2)

This article evaluates a speaker-intrinsic vowel formant frequency normalization algorithm initially proposed in Watt & Fabricius (2002). We compare how well this routine, known as the S-centroid procedure, performs as a sociophonetic research tool in three ways: reducing variance in area ratios of vowel spaces (by attempting to equalize vowel space areas); improving overlap of vowel polygons; and reproducing relative positions of vowel means within the vowel space, compared with formant data in raw Hertz. The study uses existing data sets of vowel formant data from two varieties of English, Received Pronunciation and Aberdeen English (northeast Scotland). We conclude that, for the data examined here, the S-centroid W&F procedure performs at least as well as the two speaker-intrinsic, vowel-extrinsic, formant-intrinsic normalization methods rated as best performing by Adank (2003): Lobanov's (1971) z-score procedure and Nearey's (1978) individual log-mean procedure (CLIHi4 in Adank [2003], CLIHi2 as tested here), and in some test cases better than the latter.

Linked references
Hide All

This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

Burton S. Rosner , & John B Pickering . (1994). Vowel perception and production. Oxford: Oxford University Press.

John C Wells . (1982). Accents of English. 3 vols. Cambridge: Cambridge University Press.

Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Language Variation and Change
  • ISSN: 0954-3945
  • EISSN: 1469-8021
  • URL: /core/journals/language-variation-and-change
Please enter your name
Please enter a valid email address
Who would you like to send this to? *


Full text views

Total number of HTML views: 8
Total number of PDF views: 57 *
Loading metrics...

Abstract views

Total abstract views: 220 *
Loading metrics...

* Views captured on Cambridge Core between September 2016 - 25th September 2017. This data will be updated every 24 hours.