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  • 秋山 好一, 濱 裕光, 水本 雅晴
    バイオメディカル・ファジィ・システム学会大会講演論文集
    1999年 12 巻
    発行日: 1999/10/16
    公開日: 2017/10/25
    会議録・要旨集 フリー
    A characteristics common to melody lines in ENKA (a traditional-style in Japanese popular song) is described in this paper. Feature patterns extracted from the power spectrum of melody lines in Japanese popular songs are analyzed by using fuzzy clustering. From the analysis, there exists a distinctive cluster where ENKA melodies are assembled. A rough style of the melody lines in ENKA is reasoned by analogy from the feature pattern common to the cluster. A melodic style common to ENKA is cleared when we take a view of the melody lines from long time axis in comparison with a melody length. From analyzing the feature pattern, it is recognized that the rough straight-line representing a melodic line is modulated by ups and downs fluctuations and the strong correlation between a note and front note can be expected in the melodic progression in ENKA.
  • 秋山 好一, 濱 裕光, 松田 稔
    日本音響学会誌
    2000年 56 巻 6 号 418-426
    発行日: 2000/06/01
    公開日: 2017/06/02
    ジャーナル フリー
    楽曲分析の一つとして, 旋律パターンを判別するための手法は旋律を比較する形で発展してきた。その多くの分析手法は目的毎に特異な分析形態をとっているのが普通である。本論文は, 日本の歌謡曲においては伝統的旋律の一つである演歌旋律パターンの類似関係について述べている。その類似関係の評価は旋律パターンのスペクトル傾度空間におけるファジィクラスタリングによって行われる。日本の歌謡曲531曲に適用したクラスタリングでは, 演歌と非演歌の二つのクラスタに大別できた。演歌が集群したクラスタ内の特徴ベクトルから演歌に共通する旋律パターンの特徴を類推する。更に, 旋律パターンのスペクトル傾度と旋律進行のお互いの関連についても議論する。
  • 仲村 哲明, 内海 彰, 坂本 真樹
    人工知能学会論文誌
    2012年 27 巻 3 号 163-175
    発行日: 2012年
    公開日: 2012/03/27
    ジャーナル フリー
    Various methods for music retrieval have been proposed. Recently, many researchers are tackling developing methods based on the relationship between music and feelings. In our previous psychological study, we found that there was a significant correlation between colors evoked from songs and colors evoked only from lyrics, and showed that the music retrieval system using lyrics could be developed. In this paper, we focus on the relationship among music, lyrics and colors, and propose a music retrieval method using colors as queries and analyzing lyrics. This method estimates colors evoked from songs by analyzing lyrics of the songs. On the first step of our method, words associated with colors are extracted from lyrics. We assumed two types of methods to extract words associated with colors. In the one of two methods, the words are extracted based on the result of a psychological experiment. In the other method, in addition to the words extracted based on the result of the psychological experiment, the words from corpora for the Latent Semantic Analysis are extracted. On the second step, colors evoked from the extracted words are compounded, and the compounded colors are regarded as those evoked from the song. On the last step, colors as queries are compared with colors estimated from lyrics, and the list of songs is presented based on similarities. We evaluated the two methods described above and found that the method based on the psychological experiment and corpora performed better than the method only based on the psychological experiment. As a result, we showed that the method using colors as queries and analyzing lyrics is effective for music retrieval.
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