NHKワールドTVで放送されている、全世界向け日本音楽番組『J-MELO』では、2010年以来、東京藝術大学及び慶應義塾大学の調査協力で視聴者調査『J-MELOリサーチ』を行ってきた。この調査は「視聴者の年齢層」「居住する国や地域」等の毎回行われる質問と、「日本のアーティストが、もっと世界で支持を集めるようになるにはどうしたらよいか」等、年度ごとの特別な質問や提言とを織り交ぜて実施されてきた。2018年6月までこの番組のチーフ・プロデューサーを務めていた発表者が、メディアやコンテンツを取り巻く状況やデータに関する報告を交えながら、10年代におけるJ-Popの世界伝播に関する解析を行いたい。

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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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