Characterization and Simulation of an Acoustic Source Moving through an Oceanic Waveguide

1994 ◽  
Author(s):  
Michael Reuter
Keyword(s):  
Acoustic Source ◽  
Oceanic Waveguide

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

Square-shaped sensor clusters for acoustic source localization in anisotropic plates by wave front shape-based approach

2021 ◽  
Vol 153 ◽  
pp. 107489
Author(s):  
Novonil Sen ◽  
Mateusz Gawroński ◽  
Pawel Packo ◽  
Tadeusz Uhl ◽  
Tribikram Kundu
Keyword(s):  
Wave Front ◽  
Source Localization ◽  
Acoustic Source ◽  
Anisotropic Plates ◽  
Acoustic Source Localization ◽  
Front Shape

Development of PZT fiber rosette to locate acoustic source

2021 ◽  
pp. 1045389X2199192
Author(s):  
Bao Chi Ha ◽  
Kevin Gilbert ◽  
Gang Wang
Keyword(s):  
Lead Zirconate Titanate ◽  
Health Monitoring ◽  
Lamb Wave ◽  
Lead Zirconate ◽  
Acoustic Source ◽  
Mechanical Coupling ◽  
Monitoring Applications ◽  
Commercial Off The Shelf ◽  
Lamb Wave Propagation ◽  
Strain Direction

Because of their electro-mechanical coupling property, Lead-Zirconate-Titanate (PZT) materials have been widely used for ultrasonic wave sensing and actuation in structural health monitoring applications. In this paper, a PZT rosette concept is proposed to conduct Lamb wave-based damage detection in panel-like structures by exploring its best directional sensing capability. First, a directivity study was conducted to investigate sensing of flexural Lamb wave propagation using a PZT fiber having d33 effects. Then, commercial off-the-shelf PZT fibers were polarized in-house in order to construct the PZT rosette configuration, in which three PZT fibers are oriented at 0°, 45°, 90°, respectively. Since Lamb wave responses are directly related to measured PZT fiber voltage signals, a simple interrogation scheme was developed to calculate principal strain direction in order to locate an acoustic source. Comprehensive tests were conducted to evaluate the performance of the proposed PZT rosette using an aluminum plate. It is shown that the PZT rosette is able to sense Lamb wave responses and accurately locate an acoustic source. We expect to further evaluate the PZT rosette performance when damages are introduced.

scholarly journals Auditory perception versus automatic estimation of location and orientation of an acoustic source in a real environment

2010 ◽  
Vol 31 (5) ◽  
pp. 309-319 ◽  
Author(s):  
Alberto Yoshihiro Nakano ◽  
Seiichi Nakagawa ◽  
Kazumasa Yamamoto
Keyword(s):  
Auditory Perception ◽  
Acoustic Source ◽  
Real Environment ◽  
Automatic Estimation
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