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Ultrasonic Sensor-Based Personalized Multichannel Audio Rendering for Multiview Broadcasting Services
Author(s) -
Yong Guk Kim,
Sang-Taeck Moon,
Seung Ho Choi,
Hong Kook Kim
Publication year - 2013
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1155/2013/417574
Subject(s) - computer science , rendering (computer graphics) , computer vision , artificial intelligence , sound quality , stereoscopy , stereophonic sound , speech recognition , telecommunications , channel (broadcasting)
An ultrasonic sensor-based personalized multichannel audio rendering method is proposed for multiview broadcasting services. Multiview broadcasting, a representative next-generation broadcasting technique, renders video image sequences captured by several stereoscopic cameras from different viewpoints. To achieve realistic multiview broadcasting, multichannel audio that is synchronized with a user's viewpoint should be rendered in real time. For this reason, both a real-time person-tracking technique for estimating the user's position and a multichannel audio rendering technique for virtual sound localization are necessary in order to provide realistic audio. Therefore, the proposed method is composed of two parts: a person-tracking method using ultrasonic sensors and a multichannel audio rendering method using MPEG Surround parameters. In order to evaluate the perceptual quality and localization performance of the proposed method, a MUSHRA listening test is conducted, and the directivity patterns are investigated. It is shown from these experiments that the proposed method provides better perceptual quality and localization performance than a conventional multichannel audio rendering method that also uses MPEG Surround parameters.

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