Successive Japanese lyrics generation based on encoder-decoder model

Rikiya Takahashi, Takashi Nose, Yuya Chiba, Akinori Ito

研究成果: Conference contribution

抄録

In this paper, we propose lyrics writing based on the Encoder-Decoder model. Because recent lyrics writing support systems writes lyrics based on an N-gram language model, they cannot consider a long-term context of lyrics. In the proposed method, we consider a context of 3 words and over by writing lyrics with the Encoder-Decoder model. By using relative mora positions and an algorithm of generating several sentences, we accomplish generating the number of morae that specified and plural candidate sentences.

本文言語English
ホスト出版物のタイトル2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ126-127
ページ数2
ISBN(電子版)9781728198026
DOI
出版ステータスPublished - 2020 10 13
イベント9th IEEE Global Conference on Consumer Electronics, GCCE 2020 - Kobe, Japan
継続期間: 2020 10 132020 10 16

出版物シリーズ

名前2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020

Conference

Conference9th IEEE Global Conference on Consumer Electronics, GCCE 2020
国/地域Japan
CityKobe
Period20/10/1320/10/16

ASJC Scopus subject areas

  • 信号処理
  • 電子工学および電気工学
  • メディア記述
  • 器械工学
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識

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