Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Capture, Reconstruction, and Representation of the Visual Real World for Virtual Reality Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

Immersive Virtual Reality Audio Rendering Adapted to the Listener and the Room

verfasst von : Hansung Kim, Luca Remaggi, Philip J. B. Jackson, Adrian Hilton

Erschienen in: Real VR – Immersive Digital Reality

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The visual and auditory modalities are the most important stimuli for humans. In order to maximise the sense of immersion in VR environments, a plausible spatial audio reproduction synchronised with visual information is essential. However, measuring acoustic properties of an environment using audio equipment is a complicated process. In this chapter, we introduce a simple and efficient system to estimate room acoustic for plausible spatial audio rendering using 360\(^{\circ }\) cameras for real scene reproduction in VR. A simplified 3D semantic model of the scene is estimated from captured images using computer vision algorithms and convolutional neural network (CNN). Spatially synchronised audio is reproduced based on the estimated geometric and acoustic properties in the scene. The reconstructed scenes are rendered with synthesised spatial audio.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Redirected Walking in VR
Nächstes Kapitel Immersive Learning in Real VR
Literatur
1.
Badrinarayanan, V., Kendall, A., Cipolla, R.: SegNet: a deep convolutional encoder-decoder architecture for image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39, 2481–2495 (2017)CrossRef
2.
Bailey, W., Fazenda, B.M.: The effect of reverberation and audio spatialization on egocentric distance estimation of objects in stereoscopic virtual reality. J. Acoust. Soc. Am. 141(5), 3510 (2017)CrossRef
3.
Bailey, W., Fazenda, B.M.: The effect of visual cues and binaural rendering method on plausibility in virtual environments. In: Proceedings of the 144th AES Convention, Milan, Italy (2018)
4.
Binelli, M., Pinardi, D., Nili, T., Farina, A.: Individualized HRTF for playing VR videos with Ambisonics spatial audio on HMDs. In: Proceedings of the AES Conference on Audio for Virtual and Augmented Reality, Redmond, USA (2018)
5.
6.
Bonneel, N., Suied, C., Viaud-Delmon, I., Drettakis, G.: Bimodal perception of audio-visual material properties for virtual environments. ACM Trans. Appl. Percept. 7(1), 1:1–1:16 (2010)CrossRef
7.
Bradley, J.S.: Review of objective room acoustics measures and future needs. Appl. Acoust. 72(10), 713–720 (2011)CrossRef
8.
9.
Chatfield, K., Simonyan, K., Vedaldi, A., Zisserman, A.: Return of the devil in the details: delving deep into convolutional nets. In: Proceedings of the BMVC (2014)
10.
Coleman, P., Franck, A., Jackson, P.J.B., Hughes, R.J., Remaggi, L., Melchior, F.: Object-based reverberation for spatial audio. J. Audio Eng. Soc. 65(1/2), 66–77 (2017)CrossRef
11.
Coleman, P., Franck, A., Menzies, D., Jackson, P.J.B.: Object-based reverberation encoding from first-order Ambisonic RIRs. In: Proceedings of the 142nd AES Convention, Berlin, Germany (2017)
12.
13.
14.
Farina, A.: Simultaneous measurement of impulse response and distortion with a swept-sine technique. In: Proceedings of the AES Convention (2000)
15.
Franck, A., Fazi, F.M.: VISR: a versatile open software framework for audio signal processing. In: Proceedings of the AES International Conference on Spatial Reproduction - Aesthetics and Science, Tokyo, Japan (2018)
16.
Garofolo, J.S., Lamel, L.F., Fisher, W.M., Fiscus, J.G., Pallet, D.S., Dahlgren, N.L.: DARPA TIMIT acoustic phonetic continuous speech corpus CDROM. Technical report, NIST Interagency (1993)
17.
Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Pearson, London (2017)
18.
19.
20.
21.
Hoeg, W., Christensen, L., Walker, R.: Subjective assessment of audio quality - the means and methods within the EBU. Technical report, EBU Technical Review (1997)
22.
23.
Hulusic, V., et al.: Acoustic rendering and auditory-visual cross-modal perception and interaction. J. Comput. Graph. Forum 31(1), 102–131 (2012)CrossRef
24.
25.
Jeong, C.H., Marbjerg, G., Brunskog, J.: Uncertainty of input data for room acoustic simulations. In: Proceedings of Bi-annual Baltic-Nordic Acoustic Meeting (2016)
26.
Judd, D.B.: Chromaticity sensibility to stimulus differences. J. Opt. Soc. Am. 22(2), 72 (1932)CrossRef
27.
Kim, H., Campos, T., Hilton, A.: Room layout estimation with object and material attributes information using a spherical camera. In: Proceedings of the 3DV (2016)
28.
Kim, H., Hilton, A.: 3D scene reconstruction from multiple spherical stereo pairs. Int. J. Comput. Vis. 104(1), 94–116 (2013)MathSciNetCrossRef
29.
30.
Kim, H., Hernaggi, L., Jackson, P.J., Hilton, A.: Immersive spatial audio reproduction for VR/AR using room acoustic modelling from 360 images. In: Proceedings of the IEEE VR Conference (2019)
31.
Kim, H., Sohn, K.: 3D reconstruction from stereo images for interactions between real and virtual objects. Sig. Process. Image Commun. 20(1), 61–75 (2005)CrossRef
32.
Kwon, S.W., Bosche, F., Kim, C., Haas, C., Liapi, K.: Fitting range data to primitives for rapid local 3D modeling using sparse range point clouds. Autom. Constr. 13(1), 67–81 (2004)CrossRef
33.
Larsson, P., Väljamäe, A., Västfjäll, D., Tajadura-Jiménez, A., Kleiner, M.: Auditory-induced presence in mixed reality environments and related technology. In: Dubois, E., Gray, P., Nigay, L. (eds.) The Engineering of Mixed Reality Systems. HCIS, pp. 143–163. Springer, London (2010). https://​doi.​org/​10.​1007/​978-1-84882-733-2_​8CrossRef
34.
Li, M., Nan, L., Liu, S.: Fitting boxes to Manhattan scenes using linear integer programming. Int. J. Digit. Earth 9, 806–817 (2016)CrossRef
35.
Lindau, A., Kosanke, L., Weinzierl, S.: Perceptual evaluation of model- and signal-based predictors of the mixing time in binaural room impulse responses. J. Audio Eng. Soc. 60(11), 887–898 (2012)
36.
Lindau, A., Weinzierl, S.: Assessing the plausibility of virtual acoustic environments. Acta Acust. United Acust. 98(5), 804–810 (2012)CrossRef
37.
Makhoul, J.: Linear prediction: a tutorial review. Proc. IEEE 63(4), 561–580 (1975)CrossRef
38.
Matas, J., Galambos, C., Kittler, J.: Robust detection of lines using the progressive probabilistic Hough transform. Comput. Vis. Image Underst. 78, 119–137 (2000)CrossRef
39.
McArthur, A., Sandler, M., Stewart, R.: Perception of mismatched auditory distance - cinematic VR. In: Proceedings of the AES Conference on Audio for Virtual and Augmented Reality, Redmond, USA (2018)
40.
McGurk, H., MacDonald, J.: Hearing lips and seeing voices. Nature 264(5588), 746–748 (1976)CrossRef
41.
Meng, Z., Zhao, F., He, M.: The just noticeable difference of noise length and reverberation perception. In: Proceedings of the International Symposium on Communications and Information Technologies, Bangkok, Thailand (2006)
42.
Naylor, P.A., Kounoudes, A., Gudnason, J., Brookes, M.: Estimation of glottal closure instants in voiced speech using the DYPSA algorithm. IEEE Trans. Audio Speech Lang. Process. 15(1), 34–43 (2007)CrossRef
43.
Neidhardt, A., Tommy, A.I., Pereppadan, A.D.: Plausibility of an interactive approaching motion towards a virtual sound source based on simplified BRIR sets. In: Proceedings of the 144th AES Convention, Milan, Italy (2018)
44.
Nguatem, W., Drauschke, M., Mayer, H.: Finding cuboid-based building models in point clouds. In: Proceedings of ISPRS, pp. 149–154 (2012)
45.
46.
47.
Politis, A., Tervo, S., Lokki, T., Pulkki, V.: Parametric multidirectional decomposition of microphone recordings for broadband high-order Ambisonic encoding. In: Proceedings of the 144th AES Convention, Milan, Italy (2018)
48.
Pulkki, V.: Spatial sound reproduction with directional audio coding. J. Audio Eng. Soc. 55(6), 503–516 (2007)
49.
Remaggi, L., Jackson, P.J.B., Coleman, P.: Estimation of room reflection parameters for a reverberant spatial audio object. In: Proceedings of the 138th AES Convention, Warsaw, Poland (2015)
50.
Remaggi, L., Jackson, P.J.B., Coleman, P., Wang, W.: Acoustic reflector localization: novel image source reversion and direct localization methods. IEEE/ACM Trans. Audio Speech Lang. Process. 25(2), 296–309 (2017)CrossRef
51.
Remaggi, L., Kim, H., Neidhardt, A., Hilton, A., Jackson, P.J.B.: Perceived quality and spatial impression of room reverberation in VR reproduction from measured images and acoustics. In: Proceedings of the ICA (2019)
52.
53.
Rix, J., Haas, S., Teixeira, J.: Virtual Prototyping: Virtual Environments and the Product Design Process. Springer, Boston (2016)
54.
Rummukainen, O., Robotham, T., Schlecht, S.J., Plinge, A., Herre, J., Habets, E.A.P.: Audio quality evaluation in virtual reality: multiple stimulus ranking with behavior tracking. In: Proceedings of the AES Conference on Audio for Virtual and Augmented Reality, Redmond, USA (2018)
55.
Rumsey, F.: Spatial quality evaluation for reproduced sound: terminology, meaning, and a scene-based paradigm. J. Audio Eng. Soc. 50(9), 651–666 (2002)
56.
Schissler, C., Loftin, C., Manocha, D.: Acoustic classification and optimization for multi-modal rendering of real-world scenes. IEEE Trans. Vis. Comput. Graph. 24(3), 1246–1259 (2018)CrossRef
57.
Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. CoRR abs/1409.1556 (2014)
58.
Song, S., Lichtenberg, S., Xiao, J.: SUN RGB-D: a RGB-D scene understanding benchmark suite. In: Proceedings of the CVPR (2015)
59.
60.
Stan, G.B., Embrechts, J.J., Archambeau, D.: Comparison of different impulse response measurement techniques. J. Audio Eng. Soc. 50(4), 249–262 (2002)
61.
Stecker, G.C., Moore, T.M., Folkerts, M., Zotkin, D., Duraiswami, R.: Toward objective measure of auditory co-immersion in virtual and augmented reality. In: Proceedings of the AES Conference on Audio for Virtual and Augmented Reality, Redmond, USA (2018)
62.
Stenzel, H., Jackson, P.J.B.: Perceptual thresholds of audio-visual spatial coherence for a variety of audio-visual objects. In: Proceedings of the AES Conference on Audio for Virtual and Augmented Reality, Redmond, USA (2018)
63.
Sun, B., Saenko, K.: From virtual to reality: fast adaptation of virtual object detectors to real domains. In: Proceedings of the BMVC, Nottingham, UK (2014)
64.
McKenzie, T., Murphy, D., Kearney, G.: Directional bias equalisation of first-order binaural Ambisonic rendering. In: Proceedings of the AES Conference on Audio for Virtual and Augmented Reality, Redmond, USA (2018)
65.
66.
Tervo, S., Patynen, J., Kuusinen, A., Lokki, T.: Spatial decomposition method for room impulse responses. J. Audio Eng. Soc. 61(1/2), 17–28 (2013)
67.
Tsingos, N., Funkhouser, T., Ngan, A., Carlbom, I.: Modeling acoustics in virtual environments using the uniform theory of diffraction. In: Proceedings of the ACM SIGGRAPH, pp. 545–552, Aug 2001
68.
Turk, M.: Multimodal interaction: a review. Pattern Recogn. Lett. 36, 189–195 (2014)CrossRef
69.
Välimäki, V., Parker, J.D., Savioja, L., Smith, J.O., Abel, J.S.: Fifty years of artificial reverberation. IEEE TASLP 20(5), 1421–1448 (2012)
70.
71.
72.
Vorländer, M.: Virtual acoustics: opportunities and limits of spatial sound reproduction. Arch. Acoust. 33(4), 413–422 (2008)
73.
Vorländer, M.: International round robin on room acoustical computer simulations. In: Proceedings of the ICA, Trondheim, Norway (1995)
74.
Zhang, Z.: Microsoft Kinect sensor and its effect. IEEE Multimed. 19(2), 4–10 (2012)CrossRef
75.
Zheng, S., et al.: Dense semantic image segmentation with objects and attributes. In: Proceedings of the CVPR (2014)
76.
Zhu, H., Meng, F., Cai, J., Lu, S.: Beyond pixels: a comprehensive survey from bottom-up to semantic image segmentation and cosegmentation. J. Vis. Commun. Image Represent. 34, 12–27 (2016)CrossRef
Metadaten
Titel
Immersive Virtual Reality Audio Rendering Adapted to the Listener and the Room
verfasst von
Hansung Kim
Luca Remaggi
Philip J. B. Jackson
Adrian Hilton
Copyright-Jahr
2020
Buch
Real VR – Immersive Digital Reality

Print ISBN: 978-3-030-41815-1

Electronic ISBN: 978-3-030-41816-8

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-41816-8_13

Neuer Inhalt

    Bildnachweise