University of Tabriz Tabriz Journal of Electrical Engineering 2008-7799 48 4 2019 02 20 Audio Event Detection Using the Mapping Segment on the Dictionary in Sparse Representation Audio Event Detection Using the Mapping Segment on the Dictionary in Sparse Representation 1529 1540 8490 FA M. Derakhshan Computer and IT Engineering Department, Shahrood University of Technology, Shahrood, Iran H. Marvi Faculty of Computer and IT Engineering, Shahrood University of Technology, Shahrood, Iran Journal Article 2017 01 18 Audio event detection (AED) is addressed by using a segment mapping on the NMF dictionary in the sparse representation. One problem with dictionary methods is the lack of controls in the decomposition process of the input signal, so the process yields some unstructured sound pieces that are not the valid audio events. We proposed an algorithm which uses sparsity constraint and beta-divergence to decompose the input segments into the predefined dictionary atoms instead.  Here, the sparsity control in each segment decomposes it into a linear combination of basis vectors thereby the segment is approximated into a hypothetical audio event. This method is applied to the recognition of variety live official sound events and has promising results. Audio event detection (AED) is addressed by using a segment mapping on the NMF dictionary in the sparse representation. One problem with dictionary methods is the lack of controls in the decomposition process of the input signal, so the process yields some unstructured sound pieces that are not the valid audio events. We proposed an algorithm which uses sparsity constraint and beta-divergence to decompose the input segments into the predefined dictionary atoms instead.  Here, the sparsity control in each segment decomposes it into a linear combination of basis vectors thereby the segment is approximated into a hypothetical audio event. This method is applied to the recognition of variety live official sound events and has promising results. https://tjee.tabrizu.ac.ir/article_8490_2985ca5b2358e2f703eacc602f200ea6.pdf