著者
山西 良典 鍵田 里沙子 西原 陽子 福本 淳一
出版者
日本感性工学会
雑誌
日本感性工学会論文誌 (ISSN:18840833)
巻号頁・発行日
vol.14, no.1, pp.29-35, 2015 (Released:2015-02-10)
参考文献数
19

This paper proposes a method to detect attractive phrases from musical lyrics. The method considers not only acoustic but also lyrical features which attract human attention. Through the interview on impression for lyrics, we have found that “uniqueness of co-occurred terms” and “repetition” significantly influence human attraction. Therefore, we modeled these linguistic expressions 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. Moreover, the results were compared and discussed with the key sentences detected by the existing summarization methods. As the result of comparison, it is confirmed that the proposed method detected attractive phrases more accurate than the existing summarization methods.

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RT>「JSPS科研費 26540047」でググると、なんか出てくるな。 「共起語の得意性と繰り返しに着目した歌詞からの印象的フレーズ抽出」 https://t.co/1h9PsYrjLY
@coozi_86 歌詞の性質や特徴に着目した歌詞の印象的フレーズの抽出 ↓最新版↓ https://t.co/7pMMj5vQAL
山西助教らの以下の論文が公開されました. 日本感性工学会論文誌 第14巻1号 pp. 29-35 共起語の特異性と繰り返しに着目した歌詞からの印象的フレーズ抽出 https://t.co/jz0JYlf2mz

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