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Binaural sound localizer for azimuthal movement detection based on diffraction.

Kim K, Choi A - Sensors (Basel) (2012)

Bottom Line: The gradient analysis of the ILD between the structured and unstructured microphone demonstrates the rotation directions as clockwise, counter clockwise, and no rotation of the sound source.Acoustic experiments with different types of sound source over a wide range of target movements show that the average true positive and false positive rates are 67% and 16%, respectively.Spectral analysis demonstrates that the low frequency delivers decreased true and false positive rates and the high frequency presents increases of both rates, overall.

View Article: PubMed Central - PubMed

Affiliation: Division of Electronics & Electrical Engineering, Dongguk University-Seoul, Seoul 100-715, Korea. kwkim@dongguk.edu

ABSTRACT
Sound localization can be realized by utilizing the physics of acoustics in various methods. This paper investigates a novel detection architecture for the azimuthal movement of sound source based on the interaural level difference (ILD) between two receivers. One of the microphones in the system is surrounded by barriers of various heights in order to cast the direction dependent diffraction of the incoming signal. The gradient analysis of the ILD between the structured and unstructured microphone demonstrates the rotation directions as clockwise, counter clockwise, and no rotation of the sound source. Acoustic experiments with different types of sound source over a wide range of target movements show that the average true positive and false positive rates are 67% and 16%, respectively. Spectral analysis demonstrates that the low frequency delivers decreased true and false positive rates and the high frequency presents increases of both rates, overall.

No MeSH data available.


Gradient of the level distribution over the entire angle.
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f9-sensors-12-10584: Gradient of the level distribution over the entire angle.

Mentions: The level reduction ratio can be examined by computing the horizontal slope of Figure 8, which shows the sensitivity of the sound level for individual frequency in terms of angle. The increased sensitivity provides the improved the detection ratio due to the higher level variation from the given angle deviation. Figure 9 demonstrates the gradient of the level distribution over the entire angle for individual frequency. In Figure 9, the slope has negative values due to the inversely proportional relationship between the sound level and angle (or height). The slope of measured and model show the higher absolute values around 2 kHz and rapidly declining trails toward high and low frequency. At the higher frequency, the significant loss of the intensity from measurement establishes the visible departure between the experiment and model plot. The mid range frequency around several kilo hertz contains the essential clues in order to discriminate the directional movement of the sound source based on the RDD structure. The breadth of the frequency used for the detection is determined by the further experiment from the subsequent subsection.


Binaural sound localizer for azimuthal movement detection based on diffraction.

Kim K, Choi A - Sensors (Basel) (2012)

Gradient of the level distribution over the entire angle.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3472845&req=5

f9-sensors-12-10584: Gradient of the level distribution over the entire angle.
Mentions: The level reduction ratio can be examined by computing the horizontal slope of Figure 8, which shows the sensitivity of the sound level for individual frequency in terms of angle. The increased sensitivity provides the improved the detection ratio due to the higher level variation from the given angle deviation. Figure 9 demonstrates the gradient of the level distribution over the entire angle for individual frequency. In Figure 9, the slope has negative values due to the inversely proportional relationship between the sound level and angle (or height). The slope of measured and model show the higher absolute values around 2 kHz and rapidly declining trails toward high and low frequency. At the higher frequency, the significant loss of the intensity from measurement establishes the visible departure between the experiment and model plot. The mid range frequency around several kilo hertz contains the essential clues in order to discriminate the directional movement of the sound source based on the RDD structure. The breadth of the frequency used for the detection is determined by the further experiment from the subsequent subsection.

Bottom Line: The gradient analysis of the ILD between the structured and unstructured microphone demonstrates the rotation directions as clockwise, counter clockwise, and no rotation of the sound source.Acoustic experiments with different types of sound source over a wide range of target movements show that the average true positive and false positive rates are 67% and 16%, respectively.Spectral analysis demonstrates that the low frequency delivers decreased true and false positive rates and the high frequency presents increases of both rates, overall.

View Article: PubMed Central - PubMed

Affiliation: Division of Electronics & Electrical Engineering, Dongguk University-Seoul, Seoul 100-715, Korea. kwkim@dongguk.edu

ABSTRACT
Sound localization can be realized by utilizing the physics of acoustics in various methods. This paper investigates a novel detection architecture for the azimuthal movement of sound source based on the interaural level difference (ILD) between two receivers. One of the microphones in the system is surrounded by barriers of various heights in order to cast the direction dependent diffraction of the incoming signal. The gradient analysis of the ILD between the structured and unstructured microphone demonstrates the rotation directions as clockwise, counter clockwise, and no rotation of the sound source. Acoustic experiments with different types of sound source over a wide range of target movements show that the average true positive and false positive rates are 67% and 16%, respectively. Spectral analysis demonstrates that the low frequency delivers decreased true and false positive rates and the high frequency presents increases of both rates, overall.

No MeSH data available.