@techreport{oai:ipsj.ixsq.nii.ac.jp:00224405,
 author = {中村, 風香 and 飯田, 一博 and Fuka, Nakamura and Kazuhiro, Iida},
 issue = {8},
 month = {Feb},
 note = {3 次元音響や音の VR を実現するために，聴取者個人に適合する頭部伝達関数 (HRTF) の推定・生成方法が活発に研究されている．正中面音像定位においては HRTF の 2 つのノッチ (N1,N2) と 2 つのピーク (P1,P2) が重要な役割を果たしていることが知られている．われわれは，この知見を利用して個人差に対応して連続的にパラメータを変化させることができる PNP (Parametric Notch-Peak) HRTF モデルを構築し，全天空の任意の方向の HRTF の個人化に取り組んできた．本稿では，正中面 7 方向の PNP モデルを用いて，正中面の任意の方向の個人化 HRTF を生成した．これに両耳間差情報を付加することにより，全天空の任意の方向の個人化 HRTF の生成を試みた．さらに，この方法を実現するツールキットを開発した．生成した個人化 HRTF の音像定位実験を行った結果，水平面，正中面，横断面において良好な定位精度を確認した．, In order to realize three-dimensional sound image localization and acoustic VR, methods for generating head-related transfer functions (HRTFs) for individual listeners have been actively studied. It is reported that the two notches (N1 andN2) and the two peaks (P1 and P2) in the HRTF play important role in sound image localization in the median plane. We proposed an HRTF model (Parametric Notch-Peak model) that can continuously change the parameters corresponding to individual differences by utilizing the knowledge on the N1, N2, P1 and P2. In the present paper, we developed seven PNP models in the median plane. Then, the individualized HRTFs for arbitrary directions in the median plane were generated using the seven PNP models in the median plane. Finally, the individualized HRTFs for arbitrary directions in the upper hemisphere were generated by adding the interaural difference cues to the individualized HRTFs in the median plane. Furthermore, we have developed a toolkit that generates individualized HRTFs based on the proposed method. Results of the sound image localization tests showed that the individualized HRTFs provide accurate sound image localization in the horizontal plane, the median plane, and the transverse plane.},
 title = {正中面のPNPモデルによる全天空個人化頭部伝達関数の生成},
 year = {2023}
}