06月12日(Tue) 10:00〜12:20 K会場(-ゆ～あいプラザ山口県社会福祉会館／第1会議室(81))
| 演題番号 | 1K1-IOS-1a-5 |
|---|---|
| 題目 | Discovering emotion motifs in symbolic music |
| 著者 | Cabredo Rafael(Osaka University) Inventado Paul(Osaka University) Legaspi Roberto(Osaka University) Numao Masayuki(Osaka University) |
| 時間 | 06月12日(Tue) 12:00〜12:30 |
| 概要 | Current music recommender systems only use basic information for recommending music to its listeners. These usually include artist, album, genre, tempo and other song information. Online recommender systems would include ratings and annotation tags by other people as well. We propose a recommender system that recommends music depending on how the listener wants to feel while listening to the music. The user-specific model we use is derived by analyzing brainwaves of the subject while he was actively listening to emotion-inducing music. The brainwaves are analyzed in order to derive the emotional state of the listener for different segments of the music. Using a motif discovery algorithm, we discover pairs of similar subsequences from the emotion data and find correlations with music and audio features from the song. Similar patterns are clustered and used for recommending music that invoke a similar emotional response from the listener. |
| 論文 | PDFファイル |