ISCA Archive SLAM 2013
ISCA Archive SLAM 2013

Segmental-GMM approach based on acoustic concept segmentation

Diego Castán, Murat Akbacak

The amount of multimedia content is increasing day by day, and there is a need to have automatic retrieval systems with high accuracy. In addition, there is a demand for event detectors that go beyond the simple finding of objects but rather detect more abstract concepts, such as “woodworking” or a “board trick.” This article presents a novelty approach for event classification that enables searching by audio concepts from the analysis of the audio track. This approach deals with the acoustic concepts recognition (ACR) creating a trained segmentation instead a fixed segmentation as segmental-GMM approach with broad concepts. Proposed approach has been evaluated on NIST 2011 TRECVID MED development set, which consists of usergenerated videos from the Internet, and has shown a EER of 40%.

Index Terms: Multimedia event detection(MED), acoustic concept recognition, segmental-GMM


Cite as: Castán, D., Akbacak, M. (2013) Segmental-GMM approach based on acoustic concept segmentation. Proc. First Workshop on Speech, Language and Audio in Multimedia (SLAM 2013), 15-19

@inproceedings{castan13_slam,
  author={Diego Castán and Murat Akbacak},
  title={{Segmental-GMM approach based on acoustic concept segmentation}},
  year=2013,
  booktitle={Proc. First Workshop on Speech, Language and Audio in Multimedia (SLAM 2013)},
  pages={15--19}
}