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báo cáo hóa học:" Research Article Signal Processing Implementation and Comparison of Automotive Spatial Sound Rendering Strategies"

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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Signal Processing Implementation and Comparison of Automotive Spatial Sound Rendering Strategies | Hindawi Publishing Corporation EURASIP Journal on Audio Speech and Music Processing Volume 2009 Article ID 876297 16 pages doi 10.1155 2009 876297 Research Article Signal Processing Implementation and Comparison of Automotive Spatial Sound Rendering Strategies Mingsian R. Bai and Jhih-Ren Hong Department of Mechanical Engineering National Chiao-Tung University 1001 Ta-Hsueh Road Hsin-Chu 300 Taiwan Correspondence should be addressed to Mingsian R. Bai msbai@mail.nctu.edu.tw Received 9 September 2008 Revised 22 March 2009 Accepted 8 June 2009 Recommended by Douglas Brungart Design and implementation strategies of spatial sound rendering are investigated in this paper for automotive scenarios. Six design methods are implemented for various rendering modes with different number of passengers. Specifically the downmixing algorithms aimed at balancing the front and back reproductions are developed for the 5.1-channel input. Other five algorithms based on inverse filtering are implemented in two approaches. The first approach utilizes binaural Head-Related Transfer Functions HRTFs measured in the car interior whereas the second approach named the point-receiver model targets a point receiver positioned at the center of the passenger s head. The proposed processing algorithms were compared via objective and subjective experiments under various listening conditions. Test data were processed by the multivariate analysis of variance MANOVA method and the least significant difference Fisher s LSD method as a post hoc test to justify the statistical significance of the experimental data. The results indicate that inverse filtering algorithms are preferred for the single passenger mode. For the multipassenger mode however downmixing algorithms generally outperformed the other processing techniques. Copyright 2009 M. R. Bai and J.-R. Hong. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and .

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