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Extraction of voice from the center of the stereo image

机译:从立体图像中心提取声音

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Detection and extraction of the center vocal source is important for many audio format conversion and manipulation applications. First, we study some generic properties of stereo signals containing sources panned exactly to the center of the stereo image and propose an algorithm for the separation of a stereo audio signal into a center and side channels. Recently, Park et al. [Proc. 129th AES convention, London 2010, Preprint Paper 8071] presented the results of listening tests where the perceived widths of the stereo images were evaluated for synthetic signals. Given the center separation algorithm proposed in this paper, a similar experiment was carried out with realistic stereo audio contents. The results show that there are clear differences between the stimuli used in the two experiments, which are discussed in this paper based on the analysis of the test signals and their binaural characteristics in the listening test configuration.
机译:中心声带的检测和提取对于许多音频格式转换和操作应用是重要的。首先,我们研究了包含源于立体图像中心的源的立体声信号的一些通用性质,并提出了一种将立体声音频信号分离到中心和侧通道的算法。最近,公园等人。 [proc。第129届AES公约,2010年伦敦,预印纸8071]介绍了听测测试的结果,其中评估了对合成信号的立体图像的感知宽度。考虑到本文提出的中心分离算法,使用现实的立体声音频内容进行了类似的实验。结果表明,这两个实验中使用的刺激之间存在明显的差异,这在本文中基于测试信号的分析及其在听力测试配置中的双耳特征的分析。

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