摘要
To individualize head-related transfer function (HRTF) fast and effectively, this paper presents a database matching method based on the similarity and the relativity of anthropometric structures, combined with the methods of principal component analysis (PCA) and multiple linear regression (MLR). The matched HRTF is compared with that of KEMAR dummy head in the subjective listening experiments. Results show that the matched HRTF can enhance the localization accuracy and abate the rate of front-back confusion.
| 源语言 | 英语 |
|---|---|
| 页（从-至） | 783-787 |
| 页数 | 5 |
| 期刊 | Shuju Caiji Yu Chuli/Journal of Data Acquisition and Processing |
| 卷 | 25 |
| 期 | 6 |
| 出版状态 | 已出版 - 11月 2010 |