Research on separation and enhancement of speech micro-vibration from macro motion
Hong-kai Chen, Ting-feng Wang, Shi-song Wu, Yuan-yang Li
Optoelectronics Letters ›› 2020, Vol. 16 ›› Issue (6) : 462-466.
Research on separation and enhancement of speech micro-vibration from macro motion
Based on the 1 550 nm all-fiber pulsed laser Doppler vibrometer (LDV) system independently developed by our laboratory, empirical mode decomposition (EMD) and optimally modified Log-spectral amplitude estimator (OM-LSA) algorithms are associated to separate the speech micro-vibration from the target macro motion. This combined algorithm compensates for the weakness of the EMD algorithm in denoising and the inability of the OM-LSA algorithm on signal separation, achieving separation and simultaneous acquisition of the macro motion and speech micro-vibration of a target. The experimental results indicate that using this combined algorithm, the LDV system can functionally operate within 30 m and gain a 4.21 dB promotion in the signal-to-noise ratio (SNR) relative to a traditional OM-LSA algorithm.
[1] |
Sugimoto T, Sugimoto K, Uechi I, Ohdaira T, Kawakami A and Utagawa N, Long Distance Measurement over 30m by High-speed Noncontact Acoustic Inspection Method Using Acoustic Irradiation Induced Vibration, 2017 IEEE International Ultrasonics Symposium (IUS), 1 (2017).
|
[2] |
|
[3] |
|
[4] |
|
[5] |
|
[6] |
|
[7] |
|
[8] |
|
[9] |
|
[10] |
|
[11] |
Avargel Y and Cohen I, 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, 109 (2011).
|
[12] |
|
[13] |
|
[14] |
|
[15] |
Y. Deng, 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS), 1 (2016).
|
[16] |
|
[17] |
|
[18] |
|
[19] |
|
/
〈 |
|
〉 |