Abstract
Considering the difficulty of modeling the individual head related transfer function (HRTF), a binaural moving sound source-oriented stereo audio synthesis approach is proposed, which refers to the interpolation method of HRTF. By means of spherical recording, the spatial audio of points from different directions can be obtained. In order to achieve more realistic effect, the spatial bilinear interpolation method is employed to calculate the weight of the relevant points which used to synthesize the moving sound source, and finally the Doppler Effect is simulated with the interpolation and extraction method in frequency domain. The experiment results show that, our method is capable of replacing HRTF to synthesize moving sound sources approximatively, and the generated performance of moving sound source is closer to the real recording.
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Acknowledgments
This research work is supported by the grant of Guangxi science and technology development project (No: AC16380124, 1598018-6), the grant of Guangxi Key Laboratory of Trusted Software of Guilin University of Electronic Technology (No: KX201601), the grant of Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Images and Graphics of Guilin University of Electronic Technology (No: GIIP201602), the grant of Guangxi Key Laboratory of Cryptography & Information Security of Guilin University of Electronic Technology (No: GCIS201601), the grant of Guangxi Cooperative Innovation Center of Cloud Computing and Big Data of Guilin University of Electronic Technology (No: YD16E11), the grant of Guangxi Experiment Center of Information Science of Guilin University of Electronic Technology (No: 20140208), the grant of Key Laboratory of Cloud Computing & Complex System of Guilin University of Electronic Technology (No: 14105).
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Zhou, H., Ning, Y., Chen, J., Liu, B., Zhan, Y., Yang, M. (2017). A Binaural Signal Synthesis Approach for Fast Rendering of Moving Sound. In: Tan, Y., Takagi, H., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2017. Lecture Notes in Computer Science(), vol 10386. Springer, Cham. https://doi.org/10.1007/978-3-319-61833-3_65
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DOI: https://doi.org/10.1007/978-3-319-61833-3_65
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