Laser & Optoelectronics Progress, Volume. 57, Issue 10, 101502(2020)
Sound Event Recognition Based on Adaptive Particle Swarm Optimized Matching Tracking
Figures & Tables(4)
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
Fig. 2. Average recognition rate of different algorithms in four noisy environments
Table 1. Evaluation of algorithm calculation and reconstruction performance
View tableTable 1. Evaluation of algorithm calculation and reconstruction performance
Algorithm Ns Nip Time /s MSE NCC SNR OMP 218355 4459471 21705.4 0.0050 0.9241 15.9125 Pso-MP 23698 491720 1626.9 0.0255 0.7695 9.3298 APso-MP 897 3720 175.4 0.0047 0.9550 16.3921
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Yingxin Su. Sound Event Recognition Based on Adaptive Particle Swarm Optimized Matching Tracking[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101502
Paper Information
Category: Machine Vision
Received: Aug. 19, 2019
Accepted: Oct. 18, 2019
Published Online: May. 8, 2020
The Author Email: Yingxin Su (su_yingx_555@163.com)
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