Pinna-related transfer functions and lossless wave equation using finite-difference methods: Validation with measurements
Author(s) -
ă Sebastian T. Prepelit,
Javier Gómez Bolaños,
Michele Geronazzo,
Ravish Mehra,
Lauri Savioja
Publication year - 2020
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/10.0001230
Subject(s) - pinna , transfer function , acoustics , lossless compression , finite difference , distortion (music) , finite difference method , mathematics , computer science , mathematical analysis , physics , algorithm , telecommunications , engineering , medicine , amplifier , surgery , electrical engineering , bandwidth (computing) , data compression
Nowadays, wave-based simulations of head-related transfer functions (HRTFs) lack strong justifications to replace HRTF measurements. The main cause is the complex interactions between uncertainties and biases in both simulated and measured HRTFs. This paper deals with the validation of pinna-related high-frequency information in the ipsilateral directions-of-arrival, computed by lossless wave-based simulations with finite-difference models. A simpler yet related problem is given by the pinna-related transfer function (PRTF), which encodes the acoustical effects of only the external ear. Results stress that PRTF measurements are generally highly repeatable but not necessarily easily reproducible, leading to critical issues in terms of reliability for any ground truth condition. On the other hand, PRTF simulations exhibit an increasing uncertainty with frequency and grid-dependent frequency changes, which are here quantified analyzing the benefits in the use of a unique asymptotic solution. In this validation study, the employed finite-difference model accurately and reliably predict the PRTF magnitude mostly within ±1 dB up to ≈8 kHz and a space- and frequency-averaged spectral distortion within about 2 dB up to ≈ 18 kHz.
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