An Analytic Model of Subminiature Auditory Sensation System for Sound Source Localization

2007 ◽  
Author(s):  
Qingsheng Wang ◽  
Na Ta ◽  
Zhushi Rao
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Sound Pressure ◽  
Transfer Functions ◽  
Sound Source Localization ◽  
Directional Hearing ◽  
Analytic Model ◽  
Detailed Model ◽  
Close Proximity ◽  
Cuticular Structure

It is reported that some types of insects have a remarkable ability to detect the direction of an incident sound even though its acoustic sensory organs are in very close proximity to each other. The ears are maybe jointed by a cuticular structure with which the separated motions can be coupled mechanically and thus be magnified. In this paper, a detailed model is setup to describe the principle of this type of localization used a mechanical coupled structure. The transfer functions and the responses of the model in terms of time and frequency are analyzed to describe the mechanism of its ability of directional hearing. This analytical model provides a method to design the experimental model for the predetermined incident sound pressure, and the analysis of this model shows that this structure have the ability to determine the direction of the incident stimulus.

Influence of Different Impulse Response Measurement Signals on MUSIC-Based Sound Source Localization

2017 ◽  
Vol 29 (1) ◽  
pp. 72-82 ◽  
Author(s):  
Takuya Suzuki ◽  
◽  
Hiroaki Otsuka ◽  
Wataru Akahori ◽  
Yoshiaki Bando ◽  
...  
Keyword(s):  
Impulse Response ◽  
Source Localization ◽  
Sound Source ◽  
Transfer Functions ◽  
Signal To Noise Ratio ◽  
Microphone Array ◽  
Sound Source Localization ◽  
Sound Sources ◽  
Response Measurement ◽  
Significant Difference

[abstFig src='/00290001/07.jpg' width='300' text='Six impulse response measurement signals' ] Two major functions, sound source localization and sound source separation, provided by robot audition open source software HARK exploit the acoustic transfer functions of a microphone array to improve the performance. The acoustic transfer functions are calculated from the measured acoustic impulse response. In the measurement, special signals such as Time Stretched Pulse (TSP) are used to improve the signal-to-noise ratio of the measurement signals. Recent studies have identified the importance of selecting a measurement signal according to the applications. In this paper, we investigate how six measurement signals – up-TSP, down-TSP, M-Series, Log-SS, NW-SS, and MN-SS – influence the performance of the MUSIC-based sound source localization provided by HARK. Experiments with simulated sounds, up to three simultaneous sound sources, demonstrate no significant difference among the six measurement signals in the MUSIC-based sound source localization.

scholarly journals Position-dependent hearing in three species of bushcrickets (Tettigoniidae, Orthoptera)

2015 ◽  
Vol 2 (6) ◽  
pp. 140473 ◽  
Author(s):  
Reinhard Lakes-Harlan ◽  
Jan Scherberich
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Transfer Functions ◽  
Frequency Tuning ◽  
Three Dimensional ◽  
Sound Source Localization ◽  
Sound Sources ◽  
Ear Morphology ◽  
Hearing Thresholds ◽  
Species Specific

A primary task of auditory systems is the localization of sound sources in space. Sound source localization in azimuth is usually based on temporal or intensity differences of sounds between the bilaterally arranged ears. In mammals, localization in elevation is possible by transfer functions at the ear, especially the pinnae. Although insects are able to locate sound sources, little attention is given to the mechanisms of acoustic orientation to elevated positions. Here we comparatively analyse the peripheral hearing thresholds of three species of bushcrickets in respect to sound source positions in space. The hearing thresholds across frequencies depend on the location of a sound source in the three-dimensional hearing space in front of the animal. Thresholds differ for different azimuthal positions and for different positions in elevation. This position-dependent frequency tuning is species specific. Largest differences in thresholds between positions are found in Ancylecha fenestrata . Correspondingly, A. fenestrata has a rather complex ear morphology including cuticular folds covering the anterior tympanal membrane. The position-dependent tuning might contribute to sound source localization in the habitats. Acoustic orientation might be a selective factor for the evolution of morphological structures at the bushcricket ear and, speculatively, even for frequency fractioning in the ear.

Bias-Compensated Informed Sound Source Localization Using Relative Transfer Functions

2018 ◽  
Vol 26 (7) ◽  
pp. 1275-1289 ◽  
Author(s):  
Mojtaba Farmani ◽  
Michael Syskind Pedersen ◽  
Zheng-Hua Tan ◽  
Jesper Jensen
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Transfer Functions ◽  
Sound Source Localization ◽  
Relative Transfer
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