Estimating the velocity of a moving acoustic source based on chirplet transform

2018 ◽  
Vol 144 (3) ◽  
pp. 1944-1944
Author(s):  
Ningning Liang ◽  
Yixin Yang ◽  
Xijing Guo ◽  
Boxuan Zhang
Keyword(s):  
Acoustic Source ◽  
Chirplet Transform

scholarly journals Roll angular rate extraction based on modified spline-kernelled chirplet transform

2021 ◽  
Author(s):  
Hui Zhao ◽  
Zhong Su ◽  
Qing Li ◽  
Fu-chao Liu ◽  
Ning Liu
Keyword(s):  
Angular Rate ◽  
Chirplet Transform

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.

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