Abstract
The degrading effect of reverberation on automatic sound localization is a challenging problem for many intelligent applications. Motivated by the environment-adaption ability of human auditory system, we modified the previous model by introducing the phase of room classification. 4 room types representing reverberation time from 0.32 to 0.89 s were used to evaluate the performance of the new method, and the result showed the localization accuracy could be improve about 1%–9%, depending on the sound location. The limitation and the further work of the method is analyzed and discussed.
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Acknowledgments
The work was supported by the National Natural Science Foundation of China (No. 61473008, No. 61771023 and No. 11590773), and a Newton alumni funding by the Royal Society, UK.
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Song, T., Chen, J. (2018). An Environment-Adaptation Based Binaural Localization Method. In: Peng, Y., Yu, K., Lu, J., Jiang, X. (eds) Intelligence Science and Big Data Engineering. IScIDE 2018. Lecture Notes in Computer Science(), vol 11266. Springer, Cham. https://doi.org/10.1007/978-3-030-02698-1_4
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DOI: https://doi.org/10.1007/978-3-030-02698-1_4
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