Proceedings of the Xth Conference, Helsinki 2008
Edited By Martti Vainio, Reijo Aulanko and Olli Aaltonen
7. Modelling intonational variation in Swedish: two reports from the SIMULEKT project 69
MODELLING INTONATIONAL VARIATION IN SWEDISH: TWO REPORTS FROM THE SIMULEKT PROJECT Laura Enflo Susanne Schötz Gösta Bruce Björn Granström Jonas Beskow 1 Introduction Our object of study in the research project SIMULEKT (Simulating Intonational Varieties of Swedish) (Bruce et al., 2007) is the prosodic variation characteristic of different regions of the Swedish-speaking area, shown in Figure 1. The seven regions correspond to our present dialect classiﬁcation scheme. In our work, the Swedish prosody model (Bruce and Gårding, 1978; Bruce and Granström, 1993; Bruce, 2007) and various forms of speech synthesis play prominent roles. Our main sources for analysis are the two Swedish speech databases SpeechDat (Elenius, 1999) and SweDia 2000 (Engstrand et al., 1997). SpeechDat contains telephone-transmitted speech from 5000 speakers, registered by age, gender, current location and self-labelled dialect type, according to Elert’s (1994) suggested Swedish dialect groups, which is a more ﬁne-grained classiﬁcation with 18 regions in Sweden. The dialect project SweDia 2000 collected a word list, an elicited prosody material, and extensive spontaneous monologues from 12 speakers (younger and elderly men and women) each from more than 100 different places in Sweden and Swedish-speaking parts of Finland. 1.1 The Swedish prosody model The main parameters for the Swedish prosody model (Bruce and Gårding, 1978; Bruce and Granström, 1993; Bruce, 2007) are for word prosody 1) timing charac- teristics of pitch gestures of word accent (accent I/accent II) relative to a stressed syllable, and 2) pitch patterns of...
You are not authenticated to view the full text of this chapter or article.
This site requires a subscription or purchase to access the full text of books or journals.
Do you have any questions? Contact us.Or login to access all content.