2009
DOI: 10.1017/s0954394509990160
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A comparison of three speaker-intrinsic vowel formant frequency normalization algorithms for sociophonetics

Abstract: 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… Show more

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Cited by 80 publications
(70 citation statements)
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“…i In addition to CAT, tokens of the Scottish MEET vowel (akin to Wells' FLEECE set) were coded for purposes of vowel normalization (Fabricius et al 2009). We also coded for STRUT to enable the speakerspecific comparison in the centrality of the CAT vowel.…”
Section: Vowel Analysismentioning
confidence: 99%
“…i In addition to CAT, tokens of the Scottish MEET vowel (akin to Wells' FLEECE set) were coded for purposes of vowel normalization (Fabricius et al 2009). We also coded for STRUT to enable the speakerspecific comparison in the centrality of the CAT vowel.…”
Section: Vowel Analysismentioning
confidence: 99%
“…Hence the procedure has to be strictly called "speaker-intrinsic, formant-extrinsic, and vowelintrinsic" normalization. 5 Instead, for the sake of brevity, we refer to the procedure as intrinsic normalization.…”
Section: Intrinsic Normalizationmentioning
confidence: 99%
“…Hence, the statistics of the formant data across all vowels, instead of vowel specific statistics, are used in the existing extrinsic procedures. [4][5][6]11 However, we make use of vowel specific statistics, the mean l(i, j), and the standard deviation r(i, j) of vowel j. During the process of the proposed extrinsic normalization, the identity of the vowel sample is also determined.…”
Section: Proposed Extrinsic De-normalization Proceduresmentioning
confidence: 99%
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