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New Music Concepts 2021

Detection of Trumpet Signals Using Molecular Gabor Dictionaries and Matching Pursuit Algorithm

Part of the New Music Concepts book series (NMC volume 8)
ISBN: 978-88-944350-2-3

Author(s): Carlos I. Nieblas

Abstract: In this paper we consider the construction of a molecular Gabor dic- tionaries appropriate for trumpet audio signals. Motivated by improving the effi- cient in detection and segmentation the sounds applying Matching Pursuit algo- rithm (MP) and Gabor dictionaries. We generate a molecular Gabor dictionary by grouping atoms to sparse representation the trumpet sounds choosing the best 10 atoms with provide 99% energy upon specific interval of time (harmonic). This technique demonstrates than we can use the same molecule (10 atoms) to find sparse decomposition of trumpet sounds with the minimum number of MP iterations. The reported method showed its effectiveness in terms of good sound detection for different signal to noise ratio (SNR) and approximation capability with low computational complexity.

Keywords: Gabor atoms, Matching pursuit, Sounds segmentation, detection musical sounds