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Link to original content: https://doi.org/10.1007/978-3-319-77383-4_65
An Efficient Method Using the Parameterized HRTFs for 3D Audio Real-Time Rendering on Mobile Devices | SpringerLink
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An Efficient Method Using the Parameterized HRTFs for 3D Audio Real-Time Rendering on Mobile Devices

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Advances in Multimedia Information Processing – PCM 2017 (PCM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10736))

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Abstract

3D audio real-time rendering is of great importance for virtual reality (VR) application, especially on mobile devices. However, the limited computational power makes it hard to implement fast generation of spatial sound using head-related transfer function (HRTF). To accelerate the procedure of head-related impulse response (HRIR) convolution, we propose an efficient rendering method using the parameterized HRTF. The HRIRs are preprocessed into the parameterized HRTFs with a delayed parameter, so as to realize the fast convolutions in 3D audio synthesis. We found our method could reduce the calculation time of 3D audio rendering significantly. The results were 0.9 times and 0.68 times on average the play duration of the MPEG standard sequences, with Qualcomm Snapdragon 821 and Samsung Exynos 7420. And the subjective test showed that the real-time rendered sounds had the similar audio quality and location perception to the 3D audio rendered with the raw HRIRs.

Y. Song—This work is supported by National Nature Science Foundation of China (No. 61671335, 61662010), National High Technology Research and Development Program of China (863 Program) No. 2015AA016306.

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Correspondence to Weiping Tu .

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Song, Y., Tu, W., Hu, R., Wang, X., Chen, W., Yang, C. (2018). An Efficient Method Using the Parameterized HRTFs for 3D Audio Real-Time Rendering on Mobile Devices. In: Zeng, B., Huang, Q., El Saddik, A., Li, H., Jiang, S., Fan, X. (eds) Advances in Multimedia Information Processing – PCM 2017. PCM 2017. Lecture Notes in Computer Science(), vol 10736. Springer, Cham. https://doi.org/10.1007/978-3-319-77383-4_65

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  • DOI: https://doi.org/10.1007/978-3-319-77383-4_65

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77382-7

  • Online ISBN: 978-3-319-77383-4

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