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
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
June 30, 2012 (last revised April 25, 2013)