@techreport{oai:ipsj.ixsq.nii.ac.jp:00146329,
 author = {安田, 龍一郎 and 大石, 皓太郎 and 植村, あい子 and 甲藤, 二郎 and Ryuichiro, Yasuda and Kotaro, Oishi and Aiko, Uemura and Jiro, Katto},
 issue = {28},
 month = {Nov},
 note = {本稿では，Harmonic/Percussive Sound Separation (HPSS) を前処理として和音認識を行う際の，認識結果への影響を調査する．HPSS を前処理として和音認識を行うと認識精度が向上することが従来研究により明らかになっている．HPSS を行う際の STFT のフレーム長，シフト長を変化させると，分離結果に違いが見られるため，本稿では，HPSS のフレーム長，シフト長に関し，複数条件のもと分離結果の違いが認識結果に与える影響を調査する．和音認識は従来手法であるクロマベクトルと HMM を用い，楽曲データセット 307 曲を用いて評価を行った．, In this paper, we examine the influence on chord recognition results using Harmonic/Percussive Sound Separation (HPSS) as a preprocessor. It has been known that the recognition accuracy is improved when HPSS is applied to chord recognition tasks. However, when changing frame length and shift length of STFT to calculate HPSS, different results are observed in time-frequency separation. Therefore, in this paper, we try various conditions about frame length and shift length, and examine their influences on chord recognition results. We use a chroma vector and HMM which have been commonly used in chord recognition tasks, and carry out experiments by using 307 songs as music dataset.},
 title = {Harmonic/Percussive Sound Separationを前処理とした和音認識の性能調査},
 year = {2015}
}