Segmental-GMM Approach based on Acoustic Concept Segmentation
Diego Castán, Murat Akbacak · 2013
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