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  • 标题:直交基底空間上の軌跡によるHRTFのクラスタリングと評価
  • 本地全文:下载
  • 作者:山本 健一郎 ; 望月 研二 ; 苗村 健
  • 期刊名称:映像情報メディア学会誌
  • 印刷版ISSN:1342-6907
  • 电子版ISSN:1881-6908
  • 出版年度:2002
  • 卷号:56
  • 期号:11
  • 页码:1759-1768
  • DOI:10.3169/itej.56.1759
  • 出版社:The Institute of Image Information and Television Engineers
  • 摘要:The head related transfer function (HRTF) method of providing spatial sound images has not been capable of dealing with individual differences between human listeners yet. The HRTF varies from person to person and with the direction of the sound source. We focus on this directional variation of the individual HRTF. Principal component analysis is applied to draw the loci of the variation in an orthogonal basis space. Each locus corresponds to a single individual HRTF, and the loci are utilized for clustering the individual HRTF. Some typical ones can be extracted from clusters; we show that they are useful in compensating for the individual differences found in HRTFs.
  • 关键词:空間共有通信;頭部伝達関数;個人差;主成分分析;クラスタリング;K-means法
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