Paper
8 November 2024 Rhyme-aware Chinese lyric generator based on GPT
Yixiao Yuan, Yangchen Huang, Yu Ma, Xinjin Li, Zhenglin Li, Yiming Shi, Huapeng Zhou
Author Affiliations +
Proceedings Volume 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024); 134162P (2024) https://doi.org/10.1117/12.3049486
Event: 2024 4th International Conference on Advanced Algorithms and Neural Networks, 2024, Qingdao, China
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.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yixiao Yuan, Yangchen Huang, Yu Ma, Xinjin Li, Zhenglin Li, Yiming Shi, and Huapeng Zhou "Rhyme-aware Chinese lyric generator based on GPT", Proc. SPIE 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024), 134162P (8 November 2024); https://doi.org/10.1117/12.3049486
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KEYWORDS
Data modeling

Data processing

Performance modeling

Visualization

Information fusion

Semantics

Visual process modeling

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