Noncontact detection of surface‐breaking cracks using a laser acoustic source and an electromagnetic acoustic receiver

1986 ◽  
Vol 49 (7) ◽  
pp. 374-376 ◽  
Author(s):  
R. J. Dewhurst ◽  
C. Edwards ◽  
S. B. Palmer
Keyword(s):  
Acoustic Source ◽  
Acoustic Receiver

scholarly journals Fiber-optic vector acoustic receiver based on adaptive holographic interferometer

Laser Physics ◽  
2022 ◽  
Vol 32 (2) ◽  
pp. 025101
Author(s):  
R V Romashko ◽  
D V Storozhenko ◽  
M N Bezruk ◽  
D A Bobruyko ◽  
Y N Kulchin
Keyword(s):  
Acoustic Waves ◽  
Fiber Optic ◽  
Field Tests ◽  
Water Area ◽  
Acoustic Source ◽  
Acoustic Intensity ◽  
Holographic Interferometer ◽  
Intensity Vector ◽  
Fiber Optical ◽  
Acoustic Receiver

Abstract A mobile scalar–vector acoustic receiver is proposed, experimentally implemented and investigated. The key components of the receiver are (a) the six-channel fiber-optic coil-type sensor configured as to detect three projections of acoustic intensity vector, (b) the six-channel optical phase demodulator based on six-channel adaptive holographic interferometer configured with use of dynamic holograms multiplexed in a photorefractive crystal of cadmium telluride and (c) the signals recording ADC-based system combined with software package for data processing. Field tests of the developed receiver applied for obtaining scalar and vector parameters of acoustic waves generated by a stationary and moving acoustic source in open air and water area are carried out. Experimental results show perceptiveness of use of the fiber-optical adaptive interferometry system for bearing of weak acoustic sources in real conditions.

scholarly journals Multichannel acoustic source and image dataset for the cocktail party effect in hearing aid and implant users

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Tim Fischer ◽  
Marco Caversaccio ◽  
Wilhelm Wimmer
Keyword(s):  
Hearing Aids ◽  
Scientific Community ◽  
Cocktail Party ◽  
Acoustic Source ◽  
Image Dataset ◽  
Cocktail Party Effect ◽  
Spatial Coordinates ◽  
Acoustic Chamber ◽  
Human Hearing ◽  
Human Sense

AbstractThe Cocktail Party Effect refers to the ability of the human sense of hearing to extract a specific target sound source from a mixture of background noises in complex acoustic scenarios. The ease with which normal hearing people perform this challenging task is in stark contrast to the difficulties that hearing-impaired subjects face in these situations. To help patients with hearing aids and implants, scientists are trying to imitate this ability of human hearing, with modest success so far. To support the scientific community in its efforts, we provide the Bern Cocktail Party (BCP) dataset consisting of 55938 Cocktail Party scenarios recorded from 20 people and a head and torso simulator wearing cochlear implant audio processors. The data were collected in an acoustic chamber with 16 synchronized microphones placed at purposeful positions on the participants’ heads. In addition to the multi-channel audio source and image recordings, the spatial coordinates of the microphone positions were digitized for each participant. Python scripts were provided to facilitate data processing.

Convolutional neural network trained with synthetic pseudo-images for detecting an acoustic source

2021 ◽  
Vol 179 ◽  
pp. 108068
Author(s):  
Yunsang Kwak ◽  
Deukha Kim ◽  
Hyukju Ham ◽  
Junhong Park
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Acoustic Source
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