Head-Related Transfer Functions (HRTFs) represent the filtering that sound signal is subjected to between its source at a particular spatial location and its detection at the ears. Encoded into a set of HRTFs are the acoustic cues which our auditory system will use to perceive the sound signal as emanating from a particular location. Previous papers have developed a continuous model of human HRTFs by expressing each bin of the magnitude spectra in the form of a weighted sum of surface spherical harmonics. In this paper we examine the significant and potentially insightful variations in the amplitudes of each spherical harmonic weight, as we move along the audio spectrum. We make use of representations known as Spherical Harmonic Spectra (SHSs) to illustrate these weight variations, and discuss the implications of the representation in terms of identifying physiological variations within the HRTFs, and in terms of the efficient measurement and encoding of HRTF data.
Authors:
Evans, Michael J.; Angus, James A. S.; Tew, Anthony I.
Affiliation:
University of York, Heslington, York, UK
AES Convention:
103 (September 1997)
Paper Number:
4571
Publication Date:
September 1, 1997
Subject:
3-D Binaural Audio Technology
Click to purchase paper as a non-member or you can login as an AES member to see more options.
No AES members have commented on this paper yet.
To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.