Automatic Sound Scene Control Using Image Sensor Network

Changhee Cho, Jaehyung Park and Kwangki Kim

International Journal of Distributed Sensor Networks, 2014, vol. 10, issue 5, 621805

Abstract: We proposed the automatic sound scene control system using the image sensor network for preserving the constant sound scene without respect to the users' movement. In the proposed system, the image sensor network detects the human location in the multichannel playback environment and the SSC (sound scene control) module automatically controls the sound scene of the multichannel audio signals according to the estimated human location which is the angle information. To estimate the direction of the human face, we used the normalized RGB (red, green, and blue) and the HSV (hue, saturation, and value) calculated from the images obtained by the image sensor network. The direction of the human face can be easily decided as the image sensor to capture the image with the highest number of pixels to satisfy the thresholds of the normalized RGB and the HSV. The estimated direction of the human face is directly fed to the SSC module, and the controlled sound scene can be simply generated. Experimental results show that the image sensor network successfully detected the human location with the accuracy of about 98% and the controlled sound scene by the SSC according to the detected human location was perceived as the original sound scene with the accuracy of 95%.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:10:y:2014:i:5:p:621805

DOI: 10.1155/2014/621805

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