Sound source localisation performance of open spherical acoustic intensity probes under reverberant conditions

2014 ◽  
Author(s):  
Huseyin Hacihabiboglu
Keyword(s):  
Sound Source ◽  
Acoustic Intensity ◽  
Source Localisation

Phonotactic behaviour and vertical sound source localisation of the parasitoid flyEmblemasoma auditrix(Diptera: Sarcophagidae)

2015 ◽  
Vol 40 (6) ◽  
pp. 707-716 ◽  
Author(s):  
NANINA TRON ◽  
LIESA-KRISTIN BEUTER ◽  
REINHARD LAKES-HARLAN
Keyword(s):  
Sound Source ◽  
Source Localisation ◽  
Vertical Sound

scholarly journals Sound source localisation at an axial contra-rotating fan by means of PIV and rotational beamforming

2019 ◽  
Author(s):  
Christian Friebe ◽  
Ralph Krause ◽  
Michael Kerscher ◽  
Oliver Velde
Keyword(s):  
Sound Source ◽  
Source Localisation

scholarly journals A Sound Source Localisation Analytical Method for Monitoring the Abnormal Night Vocalisations of Poultry

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2906 ◽  
Author(s):  
Xiaodong Du ◽  
Fengdan Lao ◽  
Guanghui Teng
Keyword(s):  
Sound Source ◽  
Surveillance System ◽  
Laboratory Tests ◽  
Microphone Arrays ◽  
Sound Recognition ◽  
Feeding Time ◽  
Kinect Sensor ◽  
Time Difference Of Arrival ◽  
Feasible Method ◽  
Source Localisation

Due to the increasing scale of farms, it is increasingly difficult for farmers to monitor their animals in an automated way. Because of this problem, we focused on a sound technique to monitor laying hens. Sound analysis has become an important tool for studying the behaviour, health and welfare of animals in recent years. A surveillance system using microphone arrays of Kinects was developed for automatically monitoring birds’ abnormal vocalisations during the night. Based on the principle of time-difference of arrival (TDOA) of sound source localisation (SSL) method, Kinect sensor direction estimations were very accurate. The system had an accuracy of 74.7% in laboratory tests and 73.6% in small poultry group tests for different area sound recognition. Additionally, flocks produced an average of 40 sounds per bird during feeding time in small group tests. It was found that, on average, each normal chicken produced more than 53 sounds during the daytime (noon to 6:00 p.m.) and less than one sound at night (11:00 p.m.–3:00 a.m.). This system can be used to detect anomalous poultry status at night by monitoring the number of vocalisations and area distributions, which provides a practical and feasible method for the study of animal behaviour and welfare.

scholarly journals Deep and CNN fusion method for binaural sound source localisation

2020 ◽  
Vol 2020 (13) ◽  
pp. 511-516
Author(s):  
Shilong Jiang ◽  
Lulu Wu ◽  
Peipei Yuan ◽  
Yongheng Sun ◽  
Hong Liu
Keyword(s):  
Sound Source ◽  
Fusion Method ◽  
Source Localisation ◽  
Binaural Sound
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