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Model cortical responses for the detection of perceptual onsets and beat tracking in singing

机译:建立皮层反应模型以检测歌唱中的知觉发作和节拍跟踪

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摘要

We describe a biophysically motivated model of auditory salience based on a model of cortical responses and present results that show that the derived measure of salience can be used to identify the position of perceptual onsets in a musical stimulus successfully. The salience measure is also shown to be useful to track beats and predict rhythmic structure in the stimulus on the basis of its periodicity patterns. We evaluate the method using a corpus of unaccompanied freely sung stimuli and show that the method performs well, in some cases better than state-of-the-art algorithms. These results deserve attention because they are derived from a general model of auditory processing and not an arbitrary model achieving best performance in onset detection or beat-tracking tasks.
机译:我们描述了基于皮层反应模型的听觉显着性的生物物理动机模型,并提出了结果,这些结果表明,显着性的导出量度可用于成功识别音乐刺激中知觉发作的位置。显着性度量还显示出可用于跟踪节拍并根据其周期性模式预测刺激中的节奏结构。我们使用无伴奏的自由演唱刺激语料库对该方法进行了评估,结果表明该方法性能良好,在某些情况下优于最新算法。这些结果值得关注,因为它们是从听觉处理的一般模型得出的,而不是在发作检测或心跳跟踪任务中获得最佳性能的任意模型。

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