Laser & Optoelectronics Progress, Volume. 57, Issue 8, 081021(2020)
Convolutional Neural Network Based Indoor Microphone Array Sound Source Localization
Figures & Tables(6)
Fig. 3. Comparison of classification accuracy of different algorithms in different environments
Table 1. CNN structure
View tableTable 1. CNN structure
Network layer Network parameter Input layer Dimension: 112×2688 Convolution layer Number of convolution kernel: 8; kernel_size: 5×5; stride: 1; pad: 0 Pooling layer Pooling: max pooling; kernel_size: 3×3; stride: 1; pad: 0; dropout: 50% Convolution layer Number of convolution kernel: 16; kernel_size: 5×5; stride: 1; pad 0 Pooling layer Pooling: max pooling; kernel_size: 3×3; stride: 1; pad 0; dropout: 50% Convolution layer Number of convolution kernel: 32; kernel_size: 5×5; stride: 1; pad 0 Pooling layer Pooling: max pooling; kernel_size: 3×3; stride: 1; pad 0; dropout: 50% Convolution layer Number of convolution kernel: 64; kernel_size: 5×5; stride: 1; pad 0 Pooling layer Pooling: max pooling; kernel_size: 3×3; stride: 1; pad 0; dropout: 50% Connection layer Number of neurons: 1024; activation function: ReLU; dropout: 50% Output layer Activation function: softmax; learning rate : 0.001; iterations: 1000; batch_size: 64
Table 2. Classification accuracy of different algorithms in different environments
View tableTable 2. Classification accuracy of different algorithms in different environments
Signal Reverberation time /ms Accuracy of TDOA /% Accuracy of SVM /% Accuracy of PNN /% Accuracy of BP /% Accuracy of CNN /% Clean voice 0 62.61 78.58 96.87 96.32 96.67 Clean voice 300 61.64 75.28 96.30 95.53 95.03 Clean voice 600 60.02 74.86 93.25 92.84 93.80 SNR: 10 dB 0 42.92 44.93 90.16 94.08 95.83 SNR: 10 dB 300 46.31 49.82 89.44 90.36 93.87 SNR: 10 dB 600 36.53 46.35 88.73 87.69 92.79 SNR: 0 dB 0 38.61 45.57 89.89 88.81 94.32 SNR: 0 dB 300 34.61 44.03 89.09 86.37 93.49 SNR: 0 dB 300 24.87 44.60 88.61 85.20 90.78
Table 3. Real-time localization time of different algorithms
View tableTable 3. Real-time localization time of different algorithms
Signal Reverberation time /ms Iterations Localization time /s Iterations Localization time of PNN /s Iterations Localization time of BP /s Iterations Localization time of CNN /s Clean voice 0 4496 7.4 4671 6.8 10504 10.3 18723 11.2 Clean voice 300 4215 7.8 5387 7.1 13661 9.8 19025 10.8 Clean voice 600 4615 8.1 6062 6.1 22572 10.3 29781 10.9 SNR: 10 dB 0 4853 9.3 5283 7.4 21973 9.7 33671 12.4 SNR: 10 dB 300 49.82 8.2 6231 7.3 34603 9.7 42101 11.8 SNR: 10 dB 600 5430 9.1 5735 7.1 38524 10.9 48776 11.2 SNR: 0 dB 0 4551 9.2 5089 6.9 35871 10.6 54786 11.2 SNR: 0 dB 300 4876 9.4 6086 8.3 41654 10.8 57623 10.5 SNR: 0 dB 300 5576 9.3 6487 8.1 47726 10.8 58341 11.9
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Chen Jiao, Tao Zhang, Jianhong Sun. Convolutional Neural Network Based Indoor Microphone Array Sound Source Localization[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081021
Paper Information
Category: Image Processing
Received: Aug. 29, 2019
Accepted: Sep. 19, 2019
Published Online: Apr. 3, 2020
The Author Email: Chen Jiao (jiaochen@tju.edu.cn)
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