ISCA Archive Interspeech 2014
ISCA Archive Interspeech 2014

Automatic speech recognition and translation of a Swiss German dialect: Walliserdeutsch

Philip N. Garner, David Imseng, Thomas Meyer

Walliserdeutsch is a Swiss German dialect spoken in the south west of Switzerland. To investigate the potential of automatic speech processing ofWalliserdeutsch, a small database was collected based mainly on broadcast news from a local radio station. Experiments suggest that automatic speech recognition is feasible: use of another (Swiss German) database shows that the small data size lends itself to bootstrapping from other data; use of Kullback-Leibler HMM suggests that phoneme mapping techniques can compensate for a grapheme-based dictionary. Experiments also indicate that statistical machine translation is feasible; the difficulty of small data size is offset by the close proximity to (high) German.


doi: 10.21437/Interspeech.2014-480

Cite as: Garner, P.N., Imseng, D., Meyer, T. (2014) Automatic speech recognition and translation of a Swiss German dialect: Walliserdeutsch. Proc. Interspeech 2014, 2118-2122, doi: 10.21437/Interspeech.2014-480

@inproceedings{garner14_interspeech,
  author={Philip N. Garner and David Imseng and Thomas Meyer},
  title={{Automatic speech recognition and translation of a Swiss German dialect: Walliserdeutsch}},
  year=2014,
  booktitle={Proc. Interspeech 2014},
  pages={2118--2122},
  doi={10.21437/Interspeech.2014-480},
  issn={2308-457X}
}