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A frequency-domain algorithm to upscale ambisonic sound scenes

机译:一种频域算法,用于放大歧义声场景

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In this paper, a novel algorithm for upscaling ambisonic sound scenes in the frequency domain is presented. This algorithm makes use of compressed sensing techniques to calculate a set of upscaling filters. These filters are then used to increase the spherical harmonic order of a set of ambisonic sound signals to higher orders. Upscaled ambisonic sound scenes have a greater spatial resolution, which allows more loudspeakers to be used during the playback, resulting in a larger sweet spot and improved sound quality. A formal listening test was conducted to evaluate the perceptual quality of sound fields reproduced using this technique. Results show that the proposed algorithm significantly improves the perceptual fidelity of the sound field reproduction, in comparison to classical ambisonic methods.
机译:本文提出了一种在频域上提升歧义声场景的新算法。该算法利用压缩传感技术来计算一组放大滤波器。这些滤波器然后用于将一组歧声信号的球形谐波阶数增加到更高阶。放大的立体声声音场景具有更高的空间分辨率,可以在播放过程中使用更多的扬声器,从而获得更大的最佳听音点并改善了音质。进行了正式的听力测试,以评估使用此技术所产生的声场的感知质量。结果表明,与经典的混响方法相比,该算法显着提高了声场再现的感知保真度。

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