Low-complexity simultaneous estimation of head-related transfer functions by prediction error method

Sekitoshi Kanai, Maho Sugaya, Shuichi Adachi, Kentaro Matsui

Research output: Contribution to journalArticle

Abstract

This paper proposes a fast measurement method for head-related transfer functions (HRTFs). In the HRTF measurement, measuring the acoustical transfer functions from the multidirectional sound sources to the entrance of the ears would be a major and important operation. In this paper, this intermediate directional transfer functions (IDTFs) are simultaneously estimated by using a multiple-input single-output (MISO) system identification method. A set of multidirectional IDTFs is identified as an MISO finite impulse response (FIR) model through the least-squares method. This method's computational cost becomes large as the number of the IDTFs increases. A low-complexity identification method is also proposed in this paper. The effectiveness of the proposed methods was verified through a simultaneous estimation experiment on a set of IDTFs of 24 directions measured using a dummy head. In this experiment, the intermediate directional impulse responses were approximated by the 128-order FIR models. Through the experiments, it was confirmed that the average spectral distortion between the simultaneously estimated IDTFs and IDTFs measured one direction at a time was less than 1 dB in the frequency range from 375 to 19,875 Hz.

Original languageEnglish
Pages (from-to)895-904
Number of pages10
JournalAES: Journal of the Audio Engineering Society
Volume64
Issue number11
DOIs
Publication statusPublished - 2016 Nov 1

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Transfer functions
Impulse response
Prediction
Experiments
Computational methods
Intermediate
Identification (control systems)
Acoustic waves
Experiment
Impulse
Costs

ASJC Scopus subject areas

  • Music
  • Engineering(all)

Cite this

Low-complexity simultaneous estimation of head-related transfer functions by prediction error method. / Kanai, Sekitoshi; Sugaya, Maho; Adachi, Shuichi; Matsui, Kentaro.

In: AES: Journal of the Audio Engineering Society, Vol. 64, No. 11, 01.11.2016, p. 895-904.

Research output: Contribution to journalArticle

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