Rhyme-aware Chinese lyric generator based on GPT

Yixiao Yuan, Yangchen Huang, Yu Ma, Xinjin Li, Zhenglin Li +2 more
8/19/2024
cs.CLcs.AI

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Abstract

Neural language representation models such as GPT, pre-trained on large-scale corpora, can effectively capture rich semantic patterns from plain text and be fine-tuned to consistently improve natural language generation performance. However, existing pre-trained language models used to generate lyrics rarely consider rhyme information, which is crucial in lyrics. Using a pre-trained model directly results in poor performance. To enhance the rhyming quality of generated lyrics, we incorporate integrated rhyme information into our model, thereby improving lyric generation performance.

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@article{yuan2024rhymeaware,
  title  = {Rhyme-aware Chinese lyric generator based on GPT},
  author = {Yixiao Yuan and Yangchen Huang and Yu Ma and Xinjin Li and Zhenglin Li and Yiming Shi and Huapeng Zhou},
  year   = {2024},
  eprint = {2408.10130},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2408.10130v1}
}

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