Higher‐Order Directional Audio Coding

Politis, Archontis; Pulkki, Ville

doi:10.1002/9781119252634.ch6

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…The proposed solution is to use (23), (24) for n = N to extend the set of recurrences in (22) to the highest order. With normalization re-inserted using (21) and complex conjugation that affectsŶ m n , θ xy , θ * xy , the extending relations become…”

Section: Proposed Methodsmentioning

confidence: 99%

“…to analyze reverberation [20], [21], can benefit from the largest-possible number of detectable sources, in particular in time segments in which the echo density causes multiple, interfering image sources in the regarded time frame. With only slightly increased effort, the parametric higher-order directional audio coding and room impulse response rendering techniques (HO-DirAC [22], HO-SIRR [23]) efficiently extract multiple pseudo-intensity vectors. However, to cope with multiple sources, intensity vectors are extracted in directional sectors, therefore, sound field parameters are only obtained within those sectors.…”

Section: Introductionmentioning

confidence: 99%

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Extended Vector-Based EB-ESPRIT Method

Zotter

Choi

2020

IEEE/ACM Trans. Audio Speech Lang. Process.

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The estimation of direction of arrivals (DoAs) from spherical microphone array data is one of the key issues in extracting source information from all-around audio recordings. One such technique is the eigenbeam estimation of signal parameters via the rotational invariance technique (EB-ESPRIT), which separates the signal subspace related to the stationary sound field and then directly estimates DoAs of multiple sound sources. EB-ESPRIT has been evolved in many different ways by involving different types of recurrence relations of spherical harmonics, all of which are able to identify DoAs of a limited number of sources that are noticeably smaller than the number of finite-order spherical harmonic coefficients recorded. In this work, we report that it is possible to go beyond the known limits of detectable sources. The proposed formula is also based on conventional recurrence relations and probably permits to reach the ultimate limit by additional constraints of the signal parameters that can better exploit the highest-order coefficients. Monte-Carlo simulations conducted with various source positions and signal-to-noise ratios (SNRs) reveal that the proposed technique can detect more sources with insignificant loss in estimation performance and robustness.

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Section: Proposed Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Extended Vector-Based EB-ESPRIT Method

Zotter

Choi

2020

IEEE/ACM Trans. Audio Speech Lang. Process.

View full text Add to dashboard Cite

show abstract

“…This may involve a reduction in background noise and improved speech intelligibility [1,2], the preservation or modification of the perceived spatial properties of the scene [3,4], or an extension of the listeners' hearing abilities beyond the audible range [5]. Whereas, for the other use case, these enhancements may also find application, but with less stringent latency constraints, while also permitting additional spatial modifications [6,7] prior to reproducing the captured scene over the target playback setup. The topic of this article falls within this latter reproduction task for headphones, with the added goal of accounting for both the listener's head orientation and their position relative to the recording point, which is often collectively referred to as six-degrees-offreedom (6DoF) rendering based on sound-field extrapolation [8].…”

Section: Introductionmentioning

confidence: 99%

Six-Degrees-of-Freedom Binaural Reproduction of Head-Worn Microphone Array Capture

Mccormack,

Meyer-Kahlen,

Lou Alon

et al. 2023

J. Audio Eng. Soc.

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This article formulates and evaluates four different methods for six-degrees-of-freedom binaural reproduction of head-worn microphone array recordings, which may find application within future augmented reality contexts. Three of the explored methods are signalindependent, utilizing least-squares, magnitude least-squares, or plane wave decompositionbased solutions. Rotations and translations are realized by applying directional transformations to the employed spherical rendering or optimization grid. The fourth considered approach is a parametric signal-dependent alternative, which decomposes the array signals into directional and ambient components using beamformers. The directional components are then spatialized by applying binaural filters corresponding to the transformed directions, whereas the ambient sounds are reproduced using the magnitude least-squares solution. Formal perceptual studies were conducted, whereby test participants rated the perceived relative quality of the four binaural rendering methods being evaluated. Of the three signal-independent approaches, the magnitude least-squares solution was rated the highest. The parametric approach was then rated higher than the magnitude least-square solution when the listeners were permitted to move away from the recording point.

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Multiarray Eigenbeam-ESPRIT for 3D Sound Source Localization With Multiple Spherical Microphone Arrays

Choi

Zotter

et al. 2022

IEEE/ACM Trans. Audio Speech Lang. Process.

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Higher‐Order Directional Audio Coding

Cited by 3 publications

References 5 publications

Extended Vector-Based EB-ESPRIT Method

Extended Vector-Based EB-ESPRIT Method

Six-Degrees-of-Freedom Binaural Reproduction of Head-Worn Microphone Array Capture

Multiarray Eigenbeam-ESPRIT for 3D Sound Source Localization With Multiple Spherical Microphone Arrays

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