Binaural Reproduction of Plane Waves With Reduced Modal Order

Bernschütz, Benjamin; Giner, A. Vázquez; Pörschmann, Christoph; Arend, Johannes M.

doi:10.3813/aaa.918777

Cited by 34 publications

(32 citation statements)

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“…The entries of the associated matrix are acoustic transfer functions from the positions involved in the HRTF dataset to the positions of microphones. Examples of binaural systems based on this approach are the binaural system obtained when combining the BPLIC [30] and ADVISE systems [31,32], and the binaural ambisonic systems treated in [33,46,48,50,51,54,55].…”

Section: Binaural Synthesis From Microphone Array Recordings and Hrtfmentioning

confidence: 99%

Design theory for binaural synthesis: Combining microphone array recordings and head-related transfer function datasets

Salvador

Sakamoto

Treviño

et al. 2017

Acoust. Sci. & Tech.

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Signal processing methods that accurately synthesize sound pressure at the ears are important in the development of spatial audio devices for personal use. This paper reviews the current methods and focuses on a promising class of these methods that rely on combining the spatial information available in microphone array recordings and datasets of head-related transfer functions (HRTFs). These two kinds of spatial information enable the consideration of dynamic and individual auditory localization cues during binaural synthesis. A general formulation for such a class of methods is presented in terms of a linear system of equations, whose associated matrix is composed of acoustic transfer functions that relate the positions of microphones and HRTFs. Based on this formulation, it is shown that most of the existing methods under consideration can be classified into two prominent approaches: 1) the HRTF modeling approach and 2) the microphone signal modeling approach. An important relation between these two approaches is evidenced in the general formulation: when one approach arises from the solution to an overdetermined system, the other corresponds to an underdetermined system, and vice versa. Illustrative examples of binaural synthesis from spherical arrays are provided by means of simulations. Underdetermined systems generally achieve better performance than overdetermined ones.

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Section: Binaural Synthesis From Microphone Array Recordings and Hrtfmentioning

confidence: 99%

Design theory for binaural synthesis: Combining microphone array recordings and head-related transfer function datasets

Salvador

Sakamoto

Treviño

et al. 2017

Acoust. Sci. & Tech.

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show abstract

“…During the last decade, there has been an increasing interest on methods for combining spatial information contained in HRTF datasets with recordings made with RSMAs [10][11][12][13][14][15][16][17][18][19][20]. In particular, the use of representations of HRTF datasets and RSMA recordings, in terms of solutions to the acoustic wave equation at different spatial resolutions (orders), enjoy popularity because they enable scalable encoding and simplify multichannel processing [10,11,[14][15][16]18,19].…”

Section: Introductionmentioning

confidence: 99%

“…In particular, the use of representations of HRTF datasets and RSMA recordings, in terms of solutions to the acoustic wave equation at different spatial resolutions (orders), enjoy popularity because they enable scalable encoding and simplify multichannel processing [10,11,[14][15][16]18,19].…”

Section: Introductionmentioning

confidence: 99%

“…This has motivated a recent study [16] on adapting the resolutions of HRTF datasets to RSMA recordings by spatially downsampling the HRTF datasets. Nevertheless, it has also recently been reported in [15] that high-order information is important to synthesize more directionally sharpened and more externalized (outside-head) sounds.…”

Section: Introductionmentioning

confidence: 99%

“…To focus the analysis on the number of microphones, spatial encodings of RSMA recordings are calculated only. In connection with [16], this is equivalent to a spatial resampling of the RSMA recordings so as to match the resolution of the HRTF datasets. Furthermore, to cope with low-frequency high amplifications typically observed when assuming HRTF datasets characterized for planewave sources, we consider the case of point sources, which is more consistent with existing HRTF datasets.…”

Section: Introductionmentioning

confidence: 99%

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Spatial accuracy of binaural synthesis from rigid spherical microphone array recordings

Salvador

Sakamoto

Treviño

et al. 2017

Acoust. Sci. & Tech.

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Binaural systems are a promising class of three-dimensional (3D) auditory displays for high-definition personal 3D audio devices. They properly synthesize the sound pressure signals at the ears of a listener, namely binaural signals, by means of the head-related transfer functions (HRTFs). Rigid spherical microphone arrays (RSMAs) are widely used to capture sound pressure fields for binaural presentation to multiple listeners. However, the spatial resolution needed in the RSMAs to allow for accurate binaural reproduction has not been studied in detail. The aim of this paper is to objectively address this question. We evaluated the spatial accuracy in binaural signals synthesized from the recordings of RSMAs with different number of microphones using the model of a human head. We find that the synthesis of spectral cues is accurate up to a maximum frequency determined by the number of microphones. Nevertheless, we also identify a limit beyond which adding more microphones does not improve overall accuracy. Said limit is higher for the interaural spectral cues than for the monaural ones.

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Higher‐Order Directional Audio Coding

Politis

Pulkki

2017

Parametric Time‐Frequency Domain Spatial Audio

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Binaural Reproduction of Plane Waves With Reduced Modal Order

Cited by 34 publications

References 0 publications

Design theory for binaural synthesis: Combining microphone array recordings and head-related transfer function datasets

Design theory for binaural synthesis: Combining microphone array recordings and head-related transfer function datasets

Spatial accuracy of binaural synthesis from rigid spherical microphone array recordings

Higher‐Order Directional Audio Coding

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