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Audio object individual operation and its application to earphone leakage noise reduction

机译:音频对象的个体操作及其在降低耳机泄漏噪声中的应用

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In this paper, we propose a new extension framework of multichannel audio coding based on temporal quantization of spatial information. In our previous study, multiple-audio-object signal can be encoded/decoded via prototypes of directional clustering for each audio object. This paper, first, pays attention to the fact that quantized information corresponds to the spatial image of each sound object, and is easily modified and operated by the end users. Next, as a novel application of the spatial image operation, we propose a new earphone leakage noise reduction method in which the mostly leaked sound object can be detected automatically based on the higher-order statistics, and eliminated. The effectiveness of the proposed CODEC is verified in the subjective evaluation, and leakage noise reduction method is assessed in the objective evaluation.
机译:本文提出了一种基于空间信息时间量化的多通道音频编码扩展框架。在我们之前的研究中,可以通过每个音频对象的定向聚类原型对多个音频对象信号进行编码/解码。本文首先关注这样一个事实,即量化信息与每个声音对象的空间图像相对应,并且易于最终用户修改和操作。接下来,作为空间图像操作的一种新颖应用,我们提出了一种新的耳机泄漏降噪方法,该方法可以根据高阶统计量自动检测出大部分泄漏的声音对象,并将其消除。在主观评估中验证了所提出的编解码器的有效性,在客观评估中评估了降低泄漏噪声的方法。

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