scholarly journals beamshapes: a Python package to generate directivity patterns for various sound source models

2022 ◽  
Vol 7 (69) ◽  
pp. 3740
Author(s):  
Thejasvi Beleyur
Keyword(s):  
Sound Source ◽  
Source Models ◽  
Directivity Patterns ◽  
Python Package

scholarly journals beamshapes : a Python package to generate directivity patterns for various sound sources

2021 ◽  
Author(s):  
Thejasvi Beleyur
Keyword(s):  
Open Source ◽  
Sound Source ◽  
Sound Sources ◽  
Directivity Patterns ◽  
Python Package

beamshapes is an open-source Python package that implements various directivity patternsfor sound sources. While there is an abundance of published directivity patterns in the literature- their computational implementations often remain as in-house scripts in proprietarylanguages. beamshapes overcomes this gap, and provides acousticians and bioacousticianseasily accessible implementations of sound source directivities.

scholarly journals An Inverse Microphone Array Method for the Estimation of a Rotating Source Directivity

Acoustics ◽  
2021 ◽  
Vol 3 (3) ◽  
pp. 462-472
Author(s):  
Simon Jekosch ◽  
Ennes Sarradj
Keyword(s):  
Sound Source ◽  
Inverse Method ◽  
Microphone Array ◽  
Synthetic Data ◽  
Directivity Pattern ◽  
Microphone Arrays ◽  
Spectral Matrix ◽  
Source Directivity ◽  
Directivity Patterns ◽  
Source Motion

Microphone arrays methods are useful for determining the location and magnitude of rotating acoustic sources. This work presents an approach to calculating a discrete directivity pattern of a rotating sound source using inverse microphone array methods. The proposed method is divided into three consecutive steps. Firstly, a virtual rotating array method that compensates for motion of the source is employed in order to calculate the cross-spectral matrix. Secondly, the source locations are determined by a covariance matrix fitting approach. Finally, the sound source directivity is calculated using the inverse method SODIX on a reduced focus grid. Experimental validation and synthetic data from a simulation are used for the verification of the method. For this purpose, a rotating parametric loudspeaker array with a controllable steering pattern is designed. Five different directivity patterns of the rotating source are compared. The proposed method compensates for source motion and is able to reconstruct the location as well the directivity pattern of the rotating beam source.

scholarly journals Auditory scene analysis as Bayesian inference in sound source models

2018 ◽  
Author(s):  
Maddie Cusimano ◽  
Luke Hewitt ◽  
Joshua B. Tenenbaum ◽  
Josh H. McDermott
Keyword(s):  
Bayesian Inference ◽  
Sound Source ◽  
Auditory Scene Analysis ◽  
Scene Analysis ◽  
Auditory Scene ◽  
Source Models

Role of pinnae and head movements in localizing pure tones 1The authors would like to thank Mr. Remi Humbert for implementing the experiment in Turbo Pascal and for his further assistance.

1999 ◽  
Vol 58 (3) ◽  
pp. 170-179 ◽  
Author(s):  
Barbara S. Muller ◽  
Pierre Bovet
Keyword(s):  
Sound Source ◽  
Head Movement ◽  
Movement Analysis ◽  
Head Movements ◽  
Sound Sources ◽  
Localization Accuracy ◽  
Sound Effects ◽  
Posterior Quadrant ◽  
Localization Performance ◽  
Pure Tones

Twelve blindfolded subjects localized two different pure tones, randomly played by eight sound sources in the horizontal plane. Either subjects could get information supplied by their pinnae (external ear) and their head movements or not. We found that pinnae, as well as head movements, had a marked influence on auditory localization performance with this type of sound. Effects of pinnae and head movements seemed to be additive; the absence of one or the other factor provoked the same loss of localization accuracy and even much the same error pattern. Head movement analysis showed that subjects turn their face towards the emitting sound source, except for sources exactly in the front or exactly in the rear, which are identified by turning the head to both sides. The head movement amplitude increased smoothly as the sound source moved from the anterior to the posterior quadrant.

Target Detection in a Scenario of Natural Sounds: The Role of Spatial Sound Source Separation

2013 ◽  
Author(s):  
Susanne Mayr ◽  
Gunnar Regenbrecht ◽  
Kathrin Lange ◽  
Albertgeorg Lang ◽  
Axel Buchner
Keyword(s):  
Target Detection ◽  
Sound Source ◽  
Source Separation ◽  
Natural Sounds ◽  
Sound Source Separation ◽  
Spatial Sound

It's only real if you see it: Surround system based 3D sound source modelling in virtual reality

2013 ◽  
Author(s):  
Agoston Torok ◽  
Daniel Mestre ◽  
Ferenc Honbolygo ◽  
Pierre Mallet ◽  
Jean-Marie Pergandi ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Sound Source ◽  
3D Sound

The Role of Computer Modeling in Electrocardiography

1990 ◽  
Vol 29 (04) ◽  
pp. 282-288 ◽  
Author(s):  
A. van Oosterom
Keyword(s):  
Electrical Activity ◽  
Computer Modeling ◽  
Body Surface ◽  
Electrical Current ◽  
The Body ◽  
Volume Conductor ◽  
Current Generator ◽  
Cardiac Electrical Activity ◽  
Source Models

AbstractThis paper introduces some levels at which the computer has been incorporated in the research into the basis of electrocardiography. The emphasis lies on the modeling of the heart as an electrical current generator and of the properties of the body as a volume conductor, both playing a major role in the shaping of the electrocardiographic waveforms recorded at the body surface. It is claimed that the Forward-Problem of electrocardiography is no longer a problem. Several source models of cardiac electrical activity are considered, one of which can be directly interpreted in terms of the underlying electrophysiology (the depolarization sequence of the ventricles). The importance of using tailored rather than textbook geometry in inverse procedures is stressed.

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