Reference

Kisler, T., Schiel, F. (2018). Towards a Speaker Localization from Spontaneous Speech: North-South Classification for Speakers of Contemporary German. In Elektronische Sprachsignalverarbeitung 2018 - Tagungsband Der 29. Konferenz (pp. 200-207).

BibTeX

@inproceedings{kislerSpeakerLocalizationSpontaneous2018,
  title = {Towards a Speaker Localization from Spontaneous Speech: North-South Classification for Speakers of Contemporary {{German}}},
  booktitle = {Elektronische {{Sprachsignalverarbeitung}} 2018 - {{Tagungsband}} Der 29. {{Konferenz}}},
  author = {Kisler, Thomas and Schiel, Florian},
  year = {2018},
  volume = {29},
  pages = {200--207},
  publisher = {TUDpress},
  address = {Ulm},
  abstract = {Geographical regression analysis based on phonetic features aims to locate the origin of a speaker by relating phonetic features derived from a small speech sample to longitude/latitude coordinates. In this paper we present results from a preliminary experiment in which using Random Forests, we classify speakers into two geographical regions North/South based on openSMILE features derived from the German ``German Today'' corpus. The aims are to test the feasibility of a data-driven approach to geolocalization with Random Forests, to evaluate the German phone classes that carry geoinformation, and to evaluate which phonetic features contribute to such a binary classification of speakers from the North or South. Results show that based on the voiced fricative /z/ alone it is possible to correctly classify 81.72\% of the speakers, which confirms the often reported North/South voicing contrast in Germany of /z/ in most positions. We identify a number of features that do not contribute to the geolocalization and will therefore be discarded in future experiments.},
  isbn = {978-3-95908-128-3}
}