A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics
June 15, 2019 ยท Declared Dead ยท ๐ Pacific Rim International Conference on Artificial Intelligence
"No code URL or promise found in abstract"
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Authors
Xu Lu, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao
arXiv ID
1906.09322
Category
cs.CL: Computation & Language
Cross-listed
cs.AI,
cs.SD
Citations
21
Venue
Pacific Rim International Conference on Artificial Intelligence
Last Checked
4 months ago
Abstract
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.
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