Decomposition of Head Related Impulse Responses by Selection of Conjugate Pole Pairs

Faller, Kenneth John; Barreto, Armando; Gupta, Navarun; Rishe, Naphtali

doi:10.1007/978-1-4020-6264-3_46

Cited by 3 publications

(2 citation statements)

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“…This method was able to decompose HRIRs into pieces that, when reassembled, were a close approximation to many original HRIRs. However, the iterative method is computationally complex and it was shown in [9] that this method would fail if the latencies between the constituent damped sinusoidals are small. Therefore, we have devised an alternative HRIR decomposition method which is less computationally intensive and can handle the cases which have small latencies between the damped sinusoidals.…”

Section: Automated Parameter Extraction Methodsmentioning

confidence: 99%

“…The complete iterative zeroing algorithm is described by Equations (4)- (9) assuming that a maximum of p samples will be zeroed at the beginning of each of the i damped sinusoidals obtained from HTLS. This is achieved by generating a matrix, T(r,i) of size R x I where R equals (p+1) I , which contains all the possible combinations of samples that need to be zeroed at the beginning of the damped sinusoidals.…”

Section: Iterative Zeroing Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

Decomposition of Head-Related Transfer Functions Based on the Hankel Total Least Squares Method

Faller

Barreto

Adjouadi

2009

2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop

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Head-Related Transfer Functions (HRTFs) are used to achieve binaural sound spatialization. Originally, sound spatialization techniques that utilize HRTFs require an intended listener to undergo lengthy measurements with specialized equipment. Unfortunately, the alternative generic HRTFs increase localization errors especially in elevation. Another option that we are pursuing is to customize HRTFs based on the physical measurements of a listener such that their performance is equivalent to measured HRTFs. However, an initial step of decomposing measured HRTFs in order to reveal the parameters of the required structural pinna model must be performed. A new approach for the decomposition of HRTFs is suggested and evaluated on simulated examples. Finally, the method is used to decompose actual HRTFs and the results are evaluated.

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Section: Automated Parameter Extraction Methodsmentioning

confidence: 99%

Section: Iterative Zeroing Algorithmmentioning

confidence: 99%