Extraction of Sound from Secondary Speckle Patterns in Real Time

Mingqiao Liu; Shenglong Zhang; Yuanxin Zhong; Zheng Liu; Yanli Gong; Chunming Gao

doi:10.3788/LOP240975

Laser & Optoelectronics Progress, Volume. 62, Issue 3, 0312005(2025)

Extraction of Sound from Secondary Speckle Patterns in Real Time

Mingqiao Liu^1、*, Shenglong Zhang¹, Yuanxin Zhong¹, Zheng Liu¹, Yanli Gong^1,2, and Chunming Gao¹

¹School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan , China

²College of Electronic Engineering (College of Meteorological Observation), Chengdu University of Information Technology, Chengdu 610225, Sichuan , China

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Figures & Tables(18)

Fig. 1. Laser speckle image

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Fig. 2. Principle of laser speckle vibration measurement

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Fig. 3. Schematic of real-time audio detection system based on detector and Fresnel lens

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Fig. 4. Laser speckle vibration measurement system

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Fig. 5. MFCC speech quality evaluation process

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Fig. 6. PESQ speech quality evaluation process

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Fig. 7. Indoor experimental scenes

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Fig. 8. Experimental results. (a) Original time-domain signal; (b) spectrogram of original time-domain signal; (c) reconstructed time-domain signal; (d) spectrogram of reconstructed time-domain signal

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Fig. 9. Signal time-domain diagrams at different distances. (a) 20 m; (b) 40 m; (c) 60 m; (d) 80 m

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Fig. 10. Outdoor experimental scenes

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Fig. 11. Experimental result. (a) Original time-domain signal; (b) spectrogram of original time-domain signal; (c) reconstructed time-domain signal; (d) spectrogram of reconstructed time-domain signal

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Fig. 12. Schematic of laser irradiation on back of a person's neck

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Fig. 13. Experimental result. (a) Original time-domain signal; (b) spectrogram of original time-domain signal; (c) reconstructed time-domain signal; (d) spectrogram of reconstructed time-domain signal

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Table 1. Frequency error

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Table 1. Frequency error

Actual frequency /Hz	Measurement frequency /Hz	Actual frequency /Hz	Measurement frequency /Hz	Absolute error /Hz	Relative error /%
5	5	400	400.02	0.02	0.00500
10	10	600	600.10	0.10	0.01600
30	30	800	799.70	0.30	0.03000
50	50	1000	1000.38	0.38	0.03800
70	70	2000	2000.54	0.54	0.02700
90	90	3000	2999.57	0.43	0.02150
100	100	4000	3999.45	0.55	0.01375
200	200	5000	4999.20	0.80	0.02000

Table 2. Evaluation results of reconstructed speech based on four criteria
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Table 2. Evaluation results of reconstructed speech based on four criteria
Item SegSNR/dB MFCC LLR PESQ
Result 9.654 0.996 0 4.643
Quality Good Excellent Excellent Excellent

Table 3. Evaluation results of speech reconstruction at different distances
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Table 3. Evaluation results of speech reconstruction at different distances
Distance /m SegSNR /dB MFCC LLR PESQ
20 7.45 0.923 0 3.412
40 9.63 0.956 0 3.689
60 9.52 0.950 0 3.874
80 6.87 0.919 0.03 3.523

Table 4. Evaluation results of reconstructed speech based on four criteria
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Table 4. Evaluation results of reconstructed speech based on four criteria
Item SegSNR /dB MFCC LLR PESQ
Result 6.654 0.928 0.1 4.218
Quality Medium Good Good Good

Table 5. Evaluation results of reconstructed speech based on four criteria
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Table 5. Evaluation results of reconstructed speech based on four criteria
Item SegSNR /dB MFCC LLR PESQ
Result 4.49 0.896 0.2 3.612
Quality Medium Good Medium Medium

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Mingqiao Liu, Shenglong Zhang, Yuanxin Zhong, Zheng Liu, Yanli Gong, Chunming Gao. Extraction of Sound from Secondary Speckle Patterns in Real Time[J]. Laser & Optoelectronics Progress, 2025, 62(3): 0312005

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