@techreport{oai:ipsj.ixsq.nii.ac.jp:00072704,
 author = {三好, 真人 and 柘植, 覚 and ChogeKipsangHillary and 尾山, 匡浩 and 伊藤, 桃代 and 福見, 稔 and Masato, Miyoshi and Satoru, Tsuge and Hillary, KipsangChoge and Tadahiro, Oyama and Momoyo, Ito and Minoru, Fukumi},
 issue = {23},
 month = {Feb},
 note = {本稿では，楽曲に適切な印象値を自動付与する手法を提案する．提案手法は特徴抽出手法及び印象値付与手法から構成される．特徴抽出手法では，楽曲の印象値付与に有効と考えられる音量，音色，リズム，和音に関する特徴量を抽出する．印象値付与手法では，抽出された特徴量を用いてニューラルネットワークにより楽曲に印象値を付与する．401 個の楽曲パターンを用いて印象値付与実験及び主観評価実験を行い，提案手法の有効性を検証した．, In this paper, we propose an automatic mood score detection method for music retrieval. This method consists of the feature extraction method and the mood score detection method. In the feature extraction method, feature parameters which are related to intensity, timbre, rhythm, and harmony are extracted from audio signals. In the mood score detection method, a score of each music mood is detected using Multi-Layer Neural Networks (MLNNs). In order to evaluate the proposed method, we conducted the mood score detection experiment and the subjective evaluation experiment using 401 music patterns.},
 title = {音楽検索のための楽曲印象値の自動付与手法},
 year = {2011}
}