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Comparison of energy-preserving and all-round Ambisonic decoders Franz Zotter Matthias Frank Hannes Pomberger.

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Presentation on theme: "Comparison of energy-preserving and all-round Ambisonic decoders Franz Zotter Matthias Frank Hannes Pomberger."— Presentation transcript:

1 Comparison of energy-preserving and all-round Ambisonic decoders Franz Zotter Matthias Frank Hannes Pomberger

2 Vector Base Amplitude Panning selects a loudspeaker pair (base) to vector pan with all-positive gains (pairs ≤ 90°) 2

3 … for irregular layouts it still does the job easy (throw-away loudspeaker retains some outside signal) 3

4 Performance measures: width slightly fluctuates 4 Level and width estimators for VBAP on irregular layout

5 5 Ambisonic panning is a little bit different: it assumes a virtual panning function (here horizontal-only) red>0, blue<0: infinite resolution. infty -infty infinite order enc

6 6 Ambisonic panning is a little bit different: it assumes a virtual panning function (here horizontal-only) red>0, blue<0: infinite resolution. infty -infty infinite order

7 7 Ambisonic panning is a little bit different: it assumes a virtual panning function (here horizontal-only) red>0, blue<0: infinite resolution. infty finite order Now we should be able to sample: circular/spherical polynomial discretization rules exist. -infty

8 Optimally Sampled Ambisonics with max-rE Always easy if we have optimal layout… 8

9 9 What is an optimal layout? 2D examples: regular polygon setups, N=3, L=6 N=3, L=7 N=3, L=8

10 10 What is an optimal layout? 2D examples: regular polygon setups, N=3, L=6 N=3, L=7 N=3, L=8

11 11 What is an optimal layout? 2D examples: regular polygon setups, N=3, L=6 N=3, L=7 N=3, L=8 Perfect width, loudness, direction measures: Circular/Spherical t -designs with t ≥ 2N+1 Circular t-designs: regular polygons of t+1 nodes: easy

12 Spherical t-designs allow to express integrals as sums without additional weighting or matrix inversions: integral-mean over any order t spherical polynomial is equivalent to summation across nodes of the t -design. Applicable to measures of E if t ≥ 2N, and of rE if t ≥ 2N+1 given the order N 12 t-designs: t = 3 (octahedron, N=1), 5 (icosahedron, N=2), 7 (N=3), 9 (N=4).

13 What about non-uniform arrangements? 13

14 Performance measures for the simplest decoder: sampling 14 With max rE weights

15 Performance measures for the simplest decoder: sampling 15 With max rE weights (left) in comparison to VBAP (right)

16 More elaborate: Mode matching decoder (??) 16

17 Performance measures for mode-matching decoder: unstable 17 With max rE weights Nicer, but gains reach a lot of dB outside panning range…

18 Is Ambisonic Decoding too complicated? 18

19 What we consider a break through… Energy preserving Ambisonic Decoding: [Franz Zotter, Hannes Pomberger, Markus Noisternig: „Energy-Preserving Ambisonic Decoding“, Journal: acta acustica, Jan. 2011.] [Hannes Pomberger, Franz Zotter: „Ambisonic Panning with constant energy constraint“, Conf: DAGA, 2012.] All-Round Ambisonic Decoding: [Franz Zotter, Matthias Frank, Alois Sontacchi: „Virtual t-design Ambisonics Rig Using VBAP“, Conf: EAA Euroregio, Ljubljana, 2010] [Franz Zotter, Matthias Frank, „All-Round Ambisonic Panning and Decoding“: Journal: AES, Oct. 2012] 19

20 20

21 1st Step: Slepian functions for target angles (semi-circle) 21 These would be all:

22 1st Step: Slepian functions for target angles (semi-circle) 22 Reduced to smaller number (those dominant on lower semicircle discarded) Loudspeakers are then encoded in a the reduced set of functions

23 2nd Step: energy-preserving decoding: Ambisonic Sound Field Recording and Reproduction23 Instead of Use closest row- orthogonal matrix for decoding:

24 24

25 Virtual decoding to large optimal layout Decoder is the transpose (optimal virtual layout) Playback of optimal layout to real loudspeakers: VBAP Ambisonic order can now be freely selected! N -> infty yields VBAP. Number of virtual loudspeakers should be large Ambisonic Sound Field Recording and Reproduction25

26 Energy-preserving decoder vs. AllRAD Ambisonic Sound Field Recording and Reproduction26

27 Performance measures energy-preseving vs AllRAD 27 With max rE weights Energy-preserving: perfect amplitude, All-RAD: better localization measures, easier calculation

28 Concluding: flexible versus robust AllRAD is very flexible and always easy to calculate but not as smooth in loudness. Order is variable, but an optimally smooth one exists. Energy-preserving is mathematically more challengeing but useful for high-quality decoding (in terms of amplitude). Important for audio material that is recorded or produced in Ambisonics. Ambisonic Sound Field Recording and Reproduction28

29 29 Thanks! Advancements of Ambisonics

30 30 VBAP and Ambisonics compared Triplet-wise panning (VBAP) + constant loudness + arbitrary layout -- varying spread Ambisonic Panning ~+ constant loudness + arbitrary layout ~+ invariant spread

31 31 Virtual t-design Ambisonics using VBAP: modified Fig. 7: Energy measure [dB], and spread measure [°] as a function of the virtual source direction. [Frank, Zotter 201*] N = 1 9/13

32 32 Virtual t-design Ambisonics using VBAP: modified Fig. 7: Energy measure [dB], and spread measure [°] as a function of the virtual source direction. [Frank, Zotter 201*] N = 3 9/13

33 33 Virtual t-design Ambisonics using VBAP: modified Fig. 7: Energy measure [dB], and spread measure [°] as a function of the virtual source direction. [Frank, Zotter 201*] N = 5 9/13

34 34 Virtual t-design Ambisonics using VBAP: modified N = 7 Fig. 7: Energy measure [dB], and spread measure [°] as a function of the virtual source direction. [Frank, Zotter 201*] 9/13

35 35 Virtual t-design Ambisonics using VBAP: modified N = 9 Fig. 7: Energy measure [dB], and spread measure [°] as a function of the virtual source direction. [Frank, Zotter 201*] 9/13

36 36 Energy-preserving decoder All-round Ambisonic decoder


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