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DEEPSHEET: A SHEET MUSIC GENERATOR BASED ON DEEP LEARNING

机译:深序:基于深度学习的乐谱发电机

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Sheet music has long been regarded as one of the most effective medias for musicians, music players, and amateurs to communicate with each other. It is also an intuitive way for non-professionals to learn how to play a musical instrument or sing a song. However, not all composers have willingness to share their own sheet music, especially those protected by strict copyright regulations. For amateurs or novice musicians without the capability to distinguish the chords by their own ears, it would be difficult for them to enjoy the happiness of playing other's music, or singing songs. In order to provide the beginners with an effective way to play music or sing songs without a given sheet music, we developed a sheet music generator - "DeepSheet", which was engineered based on deep learning techniques. Basically, the DeepSheet system is mainly composed of three distinctive components as follows: 1. voice separation of the audio song, 2. chord estimation of the background music, and 3. alignment of lyrics and music beats. The experimental results drawn from more than 150 songs of the Beatles and Queen indicated that the newly developed DeepSheet system has the capability and sensibility to generate sheet music with accuracy of approximately 76%.
机译:乐谱长期以来一直被视为音乐家,音乐播放器和业余爱好者最有效的媒体之一。对于非专业人士来说,学习如何玩乐器或唱歌是一种直观的方式。但是,并非所有作曲家都愿意分享自己的乐谱,尤其是受严格版权法规保护的乐谱。对于业余爱好者或新手音乐家而没有能力通过自己的耳朵区分和弦,他们很难享受播放别人音乐或唱歌的幸福。为了为初学者提供有效的方式来播放音乐或唱歌而没有给定乐谱的歌曲,我们开发了一款乐谱生成器 - “深阶”,基于深度学习技术设计。基本上,DeepSheet系统主要由三个不同的组件如下:1.将音频歌曲的语音分离,2.背景音乐的和弦的估计,和3的歌词和音乐节拍的对准。从披头士乐队和女王的超过150首歌曲中汲取的实验结果表明,新开发的深刻表格系统具有能够以约76%的精度产生乐谱的能力和敏感性。

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