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Automatic classification of accent and dialect type: results from southern Swedish

Frid, Johan LU (2002) In TMH-QPSR 44. p.89-92
Abstract
This paper is about automatic classification of dialect and accent type in Swedish. We used disyllabic words from the speech material of the Swedia 2000 dialect project in order to build a statistical prediction model. The model uses different parameters extracted from F0 contours of the words. Classification of dialect is performed for the features 'province' and 'village', whereas classification of accent is performed for the feature 'type'. The best results for province, village and accent type are 30.3%, 15.7% and 85.4% correct predictions, respectively. This shows that the categories of province and village are too specific to use for a prediction model based on these F0 parameters, whereas it is possible to predict accent type with... (More)
This paper is about automatic classification of dialect and accent type in Swedish. We used disyllabic words from the speech material of the Swedia 2000 dialect project in order to build a statistical prediction model. The model uses different parameters extracted from F0 contours of the words. Classification of dialect is performed for the features 'province' and 'village', whereas classification of accent is performed for the feature 'type'. The best results for province, village and accent type are 30.3%, 15.7% and 85.4% correct predictions, respectively. This shows that the categories of province and village are too specific to use for a prediction model based on these F0 parameters, whereas it is possible to predict accent type with some accuracy even across dialects. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
TMH-QPSR
volume
44
pages
89 - 92
ISSN
1104-5787
language
English
LU publication?
yes
id
c3436189-8461-4c32-8c51-c86e602b7bdd (old id 529075)
alternative location
http://www.speech.kth.se/qpsr/tmh/2002/02-44-089-092.pdf
date added to LUP
2007-09-17 15:49:40
date last changed
2016-04-16 06:42:07
@misc{c3436189-8461-4c32-8c51-c86e602b7bdd,
  abstract     = {This paper is about automatic classification of dialect and accent type in Swedish. We used disyllabic words from the speech material of the Swedia 2000 dialect project in order to build a statistical prediction model. The model uses different parameters extracted from F0 contours of the words. Classification of dialect is performed for the features 'province' and 'village', whereas classification of accent is performed for the feature 'type'. The best results for province, village and accent type are 30.3%, 15.7% and 85.4% correct predictions, respectively. This shows that the categories of province and village are too specific to use for a prediction model based on these F0 parameters, whereas it is possible to predict accent type with some accuracy even across dialects.},
  author       = {Frid, Johan},
  issn         = {1104-5787},
  language     = {eng},
  pages        = {89--92},
  series       = {TMH-QPSR},
  title        = {Automatic classification of accent and dialect type: results from southern Swedish},
  volume       = {44},
  year         = {2002},
}