2013
DOI: 10.1121/1.4806340
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Least squares versus non-linear cost functions for a virtual artificial head

Abstract: In order to take into account spatial information into binaural recordings, it is common practice to use so-called artificial heads. Disadvantageously artificial heads are inherently non-individual and bulky devices. Alternatively, the individual frequency-dependent directivity pattern of human head related transfer functions (HRTFs) can also be approximated by a microphone array with appropriate filters [Rasumow et al. (2011)]. Such a setup may be referred to as a virtual artificial head (vah). The filters fo… Show more

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Cited by 9 publications
(7 citation statements)
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“…Note that it is not a fundamental requirement that the microphone array is spherical. A method using an arbitrary microphone arrangement together with numerically optimal rendering was presented in Rasumow et al (2013).…”
mentioning
confidence: 99%
“…Note that it is not a fundamental requirement that the microphone array is spherical. A method using an arbitrary microphone arrangement together with numerically optimal rendering was presented in Rasumow et al (2013).…”
mentioning
confidence: 99%
“…Different techniques have been developed to find the frequency dependent weights [27,28]. In this work, we will estimate the microphone weights W i ( f ) from a regularized least-square solution of the discretized version of Eq.…”
Section: Hrtf Directivity Pattern Fittingmentioning
confidence: 99%
“…More complex expressions for the regularization term exist, e.g. with direct inclusion of the desired white noise gain (WNG) in the regularization term [28,29].…”
Section: Hrtf Directivity Pattern Fittingmentioning
confidence: 99%
“…However, it is difficult to simultaneously bring the binaural signals to multiple listeners. One of the promising approaches is binaural reproduction from microphone array recordings [9][10][11][12][13][14][15] . Owing to the recent developments of spatial soundfield recording techniques, it is becoming possible to estimate a soundfield inside a region using multiple microphones 3,[16][17][18][19][20] .…”
Section: Introductionmentioning
confidence: 99%