Distance-dependent Head-related Transfer Functions Measured with High Spatial Resolution Using a Spark Gap

Tianshu Qu[1], Zheng Xiao[1], Mei Gong[2], Ying Huang[1], Xiaodong Li[2], and Xihong Wu[1]

[1] the Key Lab of Machine Perception (Ministry of Education), Peking University

[2] the Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences

Abstract:

A measurement of head-related transfer functions(HRTFs) with high spatial resolution was carried out in this study.HRTF measurement is difficult in the proximal region because ofthe lack of an appropriate acoustic point source. In this paper, a modified spark gap was used as the acoustic sound source. Our evaluation experiments showed that the spark gap was more like an acoustic point source than others previously used from the viewpoints of frequency response, directivity, power attenuation, and stability. Using this spark gap, high spatial resolution HRTFs were measured at 6344 spatial points, with distances from 20 to 160 cm, elevations from 40 to 90 , and azimuths from 0 to 360 . Based on these measurements, an HRTF database was obtained and its reliability was confirmed by both objective and subjective evaluations.

 


This data is Copyright by the Key Lab of Machine Perception (Ministry of Education), Peking University. It is provided free with no restrictions on research use, provided the authors are cited when the data is used. And it is forbidden to be used in any commercial application.

Cited sample: T.S. Qu, Z. Xiao, M. Gong, Y. Huang, X.D. Li, X.H. Wu, “Distance-dependent Head-related Transfer Functions Measured with High Spatial Resolution Using a Spark Gap”, IEEE Trans. on Audio, Speech and Language Processing, vol.17(6), pp.1124-1132, 2009


The archive contains,

Readme (1K) - A brief description of  this database

Distance-dependent Head-related Transfer Functions Measured with High Spatial Resolution Using a Spark Gap.pdf (2.4K) – Pdf documentation on the HRTF data

PKU&IOA HRTF database.rar (90K) - Complete database set of the HRTF measurements

Readhrir.m (2K) - MATLAB scripts for reading the data

 

The archive maintained by Tianshu Qu(qutianshu@cis.pku.edu.cn) and Xihong Wu(wxh@cis.pku.edu.cn),

The Key Lab of Machine Perception (Ministry of Education), Peking University

The PKU&IOA HRTF database.rar was updated at Dec. 2, 2014, to solve some low frequency problems.

Set up at June 30, 2012 (last revised at Dec. 2, 2014)