• Laser & Optoelectronics Progress
  • Vol. 57, Issue 10, 101502 (2020)
Yingxin Su*
Author Affiliations
  • College of Information Engineering, Eastern Liaoning University, Dandong, Liaoning 118000, China
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    DOI: 10.3788/LOP57.101502 Cite this Article Set citation alerts
    Yingxin Su. Sound Event Recognition Based on Adaptive Particle Swarm Optimized Matching Tracking[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101502 Copy Citation Text show less
    Animal calls and sound spectra of reconstructed signals by different algorithms. (a) Pure animal calls; (b) noise-added calls; (c) Pso-MP reconstructed signals; (d) OMP reconstructed signals; (e) APso-MP reconstructed signals
    Fig. 1. Animal calls and sound spectra of reconstructed signals by different algorithms. (a) Pure animal calls; (b) noise-added calls; (c) Pso-MP reconstructed signals; (d) OMP reconstructed signals; (e) APso-MP reconstructed signals
    Average recognition rate of different algorithms in four noisy environments
    Fig. 2. Average recognition rate of different algorithms in four noisy environments
    ROC curve of each algorithm
    Fig. 3. ROC curve of each algorithm
    AlgorithmNsNipTime /sMSENCCSNR
    OMP218355445947121705.40.00500.924115.9125
    Pso-MP236984917201626.90.02550.76959.3298
    APso-MP8973720175.40.00470.955016.3921
    Table 1. Evaluation of algorithm calculation and reconstruction performance
    Yingxin Su. Sound Event Recognition Based on Adaptive Particle Swarm Optimized Matching Tracking[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101502
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