Detecting Attractive Phrases from Musical Lyrics Focusing on Typical Expressions on Lyrics

• YAMANISHI Ryosuke

  Ritsumeikan University

• KAGITA Risako

  Ritsumeikan University

• NISHIHARA Yoko

  Ritsumeikan University

• FUKUMOTO Junichi

  Ritsumeikan University

抄録

Lyrics influence human affection toward music as same as the acoustics. All phrases in a lyric are not remembered; there are some “attractive phrases” in lyrics. This paper proposes a method to detect attractive phrases from musical lyrics focusing on typical expressions on lyrics that are uncommon in natural document. Through the interview on impression for lyrics, “uniqueness of co-occurred terms” and “repetition” were founded as typical expressions that significantly attracted human. Therefore, these expressions were modeled as mathematical features. The proposed method detected attractive phrases using support vector machine with the modeled features. The results of the model evaluation experiments showed the 69% accuracy and 86% precision. The detected results were compared and discussed with the key sentences detected by using the existing summarization methods. As the result of the comparison, it was concluded that the proposed method detected attractive phrases more accurate than the existing summarization methods.

収録刊行物

• International Journal of Affective Engineering

  International Journal of Affective Engineering 14 (3), 167-174, 2015

  日本感性工学会

キーワード

• Music
• Lyrics
• Natural Language Processing

詳細情報

• CRID: 1390282680457265280
• NII論文ID: 130005086765
• DOI: 10.5057/ijae.ijae-d-15-00002
• ISSN: 21875413
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可