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Automatic Composition of Music by LSTM

机译:LSTM自动音乐组成

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摘要

LSTM is used in different fields, such as Machine Translation, Time Series Prediction and so on. Machine Translation with LSTM uses Embedding vector for word and computes loss of two kinds of languages. And decreasing the loss of the Model and fixing it, which can translate one language to another one. Music and its lyrics are governed by rules which are declarative and non-deterministic. In this paper, compositing will be addressed with LSTM which can automatic analysis the rules of the music scores and lyrics. Automatic Composing can be looked the same as the Machine Translation. The Music score is a kind of language and the lyrics is another kind of language, which can use the Translation Model to fix it, and then to implement composing tasks.
机译:LSTM用于不同的领域,例如机器翻译,时间序列预测等。与LSTM的机器翻译使用嵌入式向量以获取单词并计算两种语言的丢失。并降低模型的丢失并修复它,可以将一种语言转换为另一个语言。音乐及其歌词受到宣告性和非确定性的规则的管辖。在本文中,将使用LSTM解决合成,可以自动分析音乐分数和歌词的规则。自动组合可以看起来与机器翻译相同。音乐分数是一种语言,歌词是另一种语言,可以使用翻译模型来修复它,然后实现组合任务。

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