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A score identification parallel system based on audio-to-score alignment

机译:基于音频到分数对齐的分数识别并行系统

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This paper presents a parallel system for searching a digital score of classical music in a personal library. The application scenario of the system is for a musician who wants to search for a specific score in its own device by playing an excerpt of a few seconds of the composition. We propose a solution, based on audio-to-score alignment, which allows to identify the correct score in a database of musical pieces in real time. This is a challenging task because we focus on a real-time system targeted for handheld devices characterized by both mobility and low power consumption. Experimental results show that it is possible to achieve real-time execution in the tested scenarios using parallel computing techniques with ARM processors.
机译:本文介绍了一个并行系统,用于在个人图书馆中搜索古典音乐的数字分数。系统的应用场景是一位想要通过播放组合物的几秒钟的摘录来搜索自己的设备中特定分数的音乐家。我们根据音频到分数对齐提出解决方案,这允许实时识别音乐件数据库中的正确得分。这是一个具有挑战性的任务,因为我们专注于针对手持设备的实时系统,其特征在于移动性和低功耗。实验结果表明,可以使用带有臂处理器的并行计算技术在测试的场景中实现实时执行。

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