The lyrics generator should consider the context and the singability of the songs because every song expresses a story through the context of lyrics, and the lyrics should sound with the music well. Therefore, this study proposes a framework to generate the singable lyrics, and the context of lyrics should fit the given musical style. For the context, this study adopts the GPT-2 model which is powerful for text generation. The conditional GPT-2 model can be used to generate lyrics according to the given style. For suitable for singing, this study adjusts the structure and rhyme of lyrics through the use of a syntactic parser and a rhyme modification module. With automatic and human evaluations, the experimental results show that the proposed method can generate lyrics with high structural consistency, rhyme consistency, and originality according to the given music style.

歌词生成器应该考虑歌曲的上下文和可发音性，因为每首歌曲都通过歌词的上下文表达一个故事，并且歌词应该与音乐听起来很好。因此，本研究提出了一种生成可发音歌词的框架，并且歌词的上下文应适合给定的音乐风格。就上下文而言，本研究采用了GPT-2模型，该模型对于文本生成非常有力。有条件的GPT-2模型可用于根据给定的样式生成歌词。为了适合唱歌，本研究通过使用句法分析器和韵律修改模块来调整歌词的结构和韵律。通过自动和人工评估，实验结果表明，该方法可以生成具有较高结构一致性，韵律一致性，