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Automatic transcription of piano music using audio-vision fusion

机译：使用音频视觉融合自动转录钢琴音乐

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Over the last decade many sophisticated and application-specific methods have been proposed for transcription of polyphonic music. However, the performance seems to have reached a limit. This paper describes a high-performance piano transcription system with two main contributions. Firstly, a new onset detection method is proposed using a specific energy envelope matched filter, which has been proved very suitable for piano music. Secondly, a computer-vision method is proposed to enhance audio-only piano music transcription, using the recognition of the player's hands on the piano keyboard. We carried out comparable experiments respectively for onset detection and overall system based on the MAPS database and the video database. The results were compared with the best piano transcription system in MIREX 2008, which still kept the best performance in piano subset till MIREX 2012. The results show that the system outperforms the state-of-art method substantially.
机译：在过去的十年中，已经提出了许多复杂的和特定于应用的方法用于转录复音音乐。但是，性能似乎已达到限制。本文介绍了具有两个主要贡献的高性能钢琴转录系统。首先，使用特定的能量包络匹配滤波器提出了一种新的起始检测方法，这已经证明非常适合钢琴音乐。其次，提出了一种计算机视觉方法来增强仅限音频钢琴音乐转录，使用播放器的手在钢琴键盘上的识别。我们分别对起始检测和基于地图数据库和视频数据库进行了同类实验。将结果与Mirex 2008中最好的钢琴转录系统进行比较，这仍然保持钢琴亚集中的最佳性能，直至MIREX 2012.结果表明该系统大大占据了最先进的方法。

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