A New Vowel Normalization for Sociophonetics

W.J. Heeringa; H. Van de Velde

doi:10.21437/Interspeech.2021-1846

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Several studies have shown that in sociophonetic research Lobanov’s speaker normalization method outperforms other methods for normalizing vowel formants of speakers. An advantage of Lobanov’s method compared to the method that was introduced by Watt & Fabricius in 2002 is that it is independent of the shape of the vowel space area, and also normalizes to the dispersion of the vowels. However, it does depend on the distribution of the vowels within the vowel space. When using Lobanov normalization the formant values are converted to z-scores. We present a method where the µ in the z-score formula is replaced by the center of the convex hull that encloses the vowels, and the σ is obtained on the basis of the points that constitute the convex hull. When normalizing measurements of two real data sets, and of a series of randomly generated data sets, we found that our method improved in matching vowel spaces in size and overlap.

Originele taal-2	Engels
Pagina's	4024-4028
DOI's	https://doi.org/10.21437/Interspeech.2021-1846
Status	Gepubliceerd - dec. 2021
Evenement	Interspeech 2021 - Brno, Tsjechische Republiek Duur: 30 aug. 2021 → 03 sep. 2021 https://www.interspeech2021.org/

Conferentie

Conferentie	Interspeech 2021
Land/Regio	Tsjechische Republiek
Stad	Brno
Periode	30/08/2021 → 03/09/2021
Internet adres	https://www.interspeech2021.org/

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10.21437/Interspeech.2021-1846Licentie: CC BY-NC-SA

https://www.isca-speech.org/archive/interspeech_2021/heeringa21_interspeech.html

A New Vowel Normalization for Sociophonetics
W.J. Heeringa (Speaker) & H. Van de Velde (Speaker)
03 sep. 2021
Activiteit: Toespraak of presentatie › Academisch

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title = "A New Vowel Normalization for Sociophonetics",

abstract = "Several studies have shown that in sociophonetic research Lobanov{\textquoteright}s speaker normalization method outperforms other methods for normalizing vowel formants of speakers. An advantage of Lobanov{\textquoteright}s method compared to the method that was introduced by Watt & Fabricius in 2002 is that it is independent of the shape of the vowel space area, and also normalizes to the dispersion of the vowels. However, it does depend on the distribution of the vowels within the vowel space. When using Lobanov normalization the formant values are converted to z-scores. We present a method where the µ in the z-score formula is replaced by the center of the convex hull that encloses the vowels, and the σ is obtained on the basis of the points that constitute the convex hull. When normalizing measurements of two real data sets, and of a series of randomly generated data sets, we found that our method improved in matching vowel spaces in size and overlap.",

keywords = "vowel formants, vowel space, normalization, sociophonetics",

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AB - Several studies have shown that in sociophonetic research Lobanov’s speaker normalization method outperforms other methods for normalizing vowel formants of speakers. An advantage of Lobanov’s method compared to the method that was introduced by Watt & Fabricius in 2002 is that it is independent of the shape of the vowel space area, and also normalizes to the dispersion of the vowels. However, it does depend on the distribution of the vowels within the vowel space. When using Lobanov normalization the formant values are converted to z-scores. We present a method where the µ in the z-score formula is replaced by the center of the convex hull that encloses the vowels, and the σ is obtained on the basis of the points that constitute the convex hull. When normalizing measurements of two real data sets, and of a series of randomly generated data sets, we found that our method improved in matching vowel spaces in size and overlap.

KW - vowel formants

KW - vowel space

KW - normalization

KW - sociophonetics

U2 - 10.21437/Interspeech.2021-1846

DO - 10.21437/Interspeech.2021-1846

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T2 - Interspeech 2021

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ER -

A New Vowel Normalization for Sociophonetics

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A New Vowel Normalization for Sociophonetics

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