Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

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

In English

Författare

Summary, in English

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.

Avdelning/ar

Publiceringsår

2002

Språk

Engelska

Sidor

89-92

Publikation/Tidskrift/Serie

TMH-QPSR

Volym

44

Dokumenttyp

Konferensbidrag

Ämne

  • General Language Studies and Linguistics

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1104-5787