Spatial Sound Rendering Using Intensity Impulse Response and Cardioid Masking Function
Source abstract
Abstract
This study presents a new technique for creating spatial sounds based on a convolution processor. The main objective of this research was to propose a new method for generating a set of impulse responses that guarantee a realistic spatial experience based on the fusion of amplitude data acquired from an omnidirectional microphone and directional data acquired from an intensity probe. The advantages of the proposed approach are its versatility and easy adaptation to playback in a variety of multi-speaker systems, as well as a reduction in the amount of data, thereby simplifying the measurement procedure required to create any set of channel responses at the post-production stage. This paper describes the concept behind the method, the data acquisition method, and the signal processing algorithm required to generate any number of high-quality channel impulse responses. Experimental results are presented to confirm the suitability of the proposed solution by comparing the results obtained for a traditional surround 5.1 recording system and the proposed approach. This study aims to highlight the potential of intensity impulse responses in the audio recording and virtual reality industries.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Color perception and design · Multisensory perception and integration · Tactile and Sensory Interactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty of Electrical Engineering, West Pomeranian University of Technology in Szczecin, ul. Sikorskiego 37, 70-313 Szczecin, Poland
Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, ul. Żołnierska 49, 71-210 Szczecin, Poland
References (23)
Show source-provided references
1. Blauert, J. (1996). Spatial Hearing: The Psychophysics of Human Sound Localization, The MIT Press.10.7551/mitpress/6391.001.0001 ↗
2. Roginska, A., and Geluso, P. (2017). Immersive Sound: The Art and Science of Binaural and Multi-Channel Audio, Taylor & Francis.10.4324/9781315707525 ↗
3. Virtual Sound Source Positioning Using Vector Base Amplitude Panning
4. Audio Augmented Reality in Smart Learning Environments10.1109/TLT.2023.3250268 ↗
5. Tang, Z., and Manocha, D. (2020, January 22–26). Scene-aware Sound Rendering in Virtual and Real Worlds. Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Atlanta, GA, USA.10.1109/VRW50115.2020.00119 ↗
6. Spatial impulse response rendering I: Analysis and synthesis
7. Spatial impulse response rendering II: Reproduction of diffuse sound and listening tests
8. Fichna, S., Biberger, T., Seeber, B.U., and Ewert, S.D. (2021, January 8–10). Effect of Acoustic Scene Complexity and Visual Scene Representation on Auditory Perception in Virtual Audio-Visual Environments. Proceedings of the 2021 Immersive and 3D Audio: From Architecture to Automotive (I3DA), Bologna, Italy.10.1109/I3DA48870.2021.9610916 ↗
9. Moraes, A.N., Flynn, R., Hines, A., and Murray, N. (2020, January 26–28). Evaluating the User in a Sound Localisation Task in a Virtual Reality Application. Proceedings of the 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX), Athlone, Ireland.10.1109/QoMEX48832.2020.9123136 ↗
10. Kern, A.C., and Ellermeier, W. (2020). Audio in VR: Effects of a Soundscape and Movement-Triggered Step Sounds on Presence. Front. Robot. AI, 7.10.3389/frobt.2020.00020 ↗
11. Buck, L., Vargas, M.F., and McDonnell, R. (2022, January 12–16). The Effect of Spatial Audio on the Virtual Representation of Personal Space. Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Christchurch, New Zealand.10.1109/VRW55335.2022.00079 ↗
12. Bialkova, S., and Van Gisbergen, M.S. (2017, January 19). When sound modulates vision: VR applications for art and entertainment. Proceedings of the 2017 IEEE 3rd Workshop on Everyday Virtual Reality (WEVR), Los Angeles, CA, USA.10.1109/WEVR.2017.7957714 ↗
13. Fifty Years of Artificial Reverberation10.1109/TASL.2012.2189567 ↗
14. Kelly, J., Woszczyk, W., and King, R. (2021, January 11–13). 3D Impulse Response Convolution with Multichannel Direct Sound: Assessing Perceptual Equivalency between Room- and Source- Impression for Music Production. Proceedings of the Audio Engineering Society Convention 151, Online.
15. Impulse response reverb as a tool for voicing organs10.1121/1.4783682 ↗
16. Farina, A. (2007, January 27–30). Impulse Response Measurements. Proceedings of the 23rd Nordic Sound Symposium, Trondheim, Norway.
17. Farina, A. (2007, January 5–8). Advancements in Impulse Response Measurements by Sine Sweeps. Proceedings of the Audio Engineering Society Convention 122, Vienna, Austria.
18. Ly, E., and Villegas, J. (2020). Generating Artificial Reverberation via Genetic Algorithms for Real-Time Applications. Entropy, 22.10.3390/e22111309 ↗
19. Method for Reproducing Natural or Modified Spatial Impression in Multichannel Listening10.1121/1.3561613 ↗
20. Williams, M. (1987, January 10–13). Unified Theory of Microphone Systems for Stereophonic Sound Recording. Proceedings of the 82nd Convention of the AES, London, UK. convention paper 2466.
21. Williams, M., and Dû, G.L. (2024, December 31). Multichannel Microphone Array Design (MMAD). Available online: https://micpedia.com/multichannel-microphone-array-design-mmad/.
22. Mickiewicz, W., and Raczyński, M. (2017, January 28–31). Mechatronic sound intensity 2D probe. Proceedings of the 2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Poland.10.1109/MMAR.2017.8046947 ↗
23. Mickiewicz, W., Raczyński, M., and Parus, A. (2020). Performance Analysis of Cost-Effective Miniature Microphone Sound Intensity 2D Probe. Sensors, 20.10.3390/s20010271 ↗