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.

介绍了一种用于生成汉语歌词的模型，该模型基于原始旋律并考虑了汉语音节结构及语义。通过使用多通道序列到序列模型，同时考虑词组结构和语义，其中一个用于编码音节结构，另一个用于语义编码。使用大规模的汉语歌词语料库进行模型训练，并通过自动和人工评估验证了模型的有效性。是目前关于考虑音乐和语言的双重视角的汉语歌词生成较少的报告之一。