ISCA Archive Interspeech 2005
ISCA Archive Interspeech 2005

Advances in regional accent clustering in Swedish

Giampiero Salvi

The regional pronunciation variation in Swedish is analysed on a large database. Statistics over each phoneme and for each region of Sweden are computed using the EM algorithm in a hidden Markov model framework to overcome the difficulties of transcribing the whole set of data at the phonetic level. The model representations obtained this way are compared using a distance measure in the space spanned by the model parameters, and hierarchical clustering. The regional variants of each phoneme may group with those of any other phoneme, on the basis of their acoustic properties. The log likelihood of the data given the model is shown to display interesting properties regarding the choice of number of clusters, given a particular level of details. Discriminative analysis is used to find the parameters that most contribute to the separation between groups, adding an interpretative value to the discussion. Finally a number of examples are given on some of the phenomena that are revealed by examining the clustering tree.

doi: 10.21437/Interspeech.2005-719

Cite as: Salvi, G. (2005) Advances in regional accent clustering in Swedish. Proc. Interspeech 2005, 2841-2844, doi: 10.21437/Interspeech.2005-719

  author={Giampiero Salvi},
  title={{Advances in regional accent clustering in Swedish}},
  booktitle={Proc. Interspeech 2005},