Learning new acoustic events in an HMM-based system using MAP adaptation

Jürgen T. Geiger, Mohamed Anouar Lakhal, Björn Schuller, Gerhard Rigoll

In this paper, we present a system for the recognition of acoustic events suited for a robotic application. HMMs are used to model different acoustic event classes. We are especially looking at the open-set case, where a class of acoustic events occurs that was not included in the training phase. It is evaluated how newly occuring classes can be learnt using MAP adaptation or conventional training methods. A small database of acoustic events was recorded with a robotic platform to perform the experiments.

doi: 10.21437/Interspeech.2011-113

Cite as: Geiger, J.T., Lakhal, M.A., Schuller, B., Rigoll, G. (2011) Learning new acoustic events in an HMM-based system using MAP adaptation. Proc. Interspeech 2011, 293-296, doi: 10.21437/Interspeech.2011-113

@inproceedings{geiger11_interspeech,
  author={Jürgen T. Geiger and Mohamed Anouar Lakhal and Björn Schuller and Gerhard Rigoll},
  title={{Learning new acoustic events in an HMM-based system using MAP adaptation}},
  year=2011,
  booktitle={Proc. Interspeech 2011},
  pages={293--296},
  doi={10.21437/Interspeech.2011-113}
}