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A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics

机译:一个音节结构,基于上下文的条件的中国歌词

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This paper presents a novel, syllable-structured Chinese lyrics generation model given a piece of original melody. Most previously reported lyrics generation models fail to include the relationship between lyrics and melody. In this work, we propose to interpret lyrics-melody alignments as syllable structural information and use a multi-channel sequence-to-sequence model with considering both phrasal structures and semantics. Two different RNN encoders are applied, one of which is for encoding syllable structures while the other for semantic encoding with contextual sentences or input keywords. Moreover, a large Chinese lyrics corpus for model training is leveraged. With automatic and human evaluations, results demonstrate the effectiveness of our proposed lyrics generation model. To the best of our knowledge, there is few previous reports on lyrics generation considering both music and linguistic perspectives.
机译:本文介绍了一款新颖的音节结构的中国歌词生成模型,给出了一块原始旋律。大多数先前报告的歌词生成模型未能包括歌词和旋律之间的关系。在这项工作中,我们建议将歌词 - 旋律对齐解释为音节结构信息,并使用多通道序列到序列模型考虑短语结构和语义。应用两个不同的RNN编码器,其中一个用于编码音节结构,而另一个用于使用上下文句子或输入关键字进行语义编码。此外,利用了用于模型培训的大型歌词语料库。通过自动和人类评估,结果表明了我们所提出的歌词生成模型的有效性。据我们所知,考虑到音乐和语言观点,很少有关于歌词生成的报道。

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