| dc.contributor.author | Tamulionis, Mantas | |
| dc.contributor.author | Serackis, Artūras | |
| dc.date.accessioned | 2023-09-18T20:26:14Z | |
| dc.date.available | 2023-09-18T20:26:14Z | |
| dc.date.issued | 2019 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/149893 | |
| dc.description.abstract | Realistic binaural rendering refers to a process that implies applying the physically correct signals to the eardrums of a listener. In real-time binaural rendering systems, used in VR environments, the accurate signals should be appropriately updated as the listener freely moves in a simulated room. The update process requires room impulse response and head-related transfer function for each new position and pose of the listener. The classical approach uses a filter set, estimated for a particular position. The switching (to a new position-related filter set) is available after the current signal analysis frame is fully processed. In this paper, we propose an approach for immediate switching to the correct filtered binaural output with a rotation resolution of 3 degrees. Our solution is based on pre-filtering applied to the upcoming audio signal frame. The proposed solution does not exceed the latency limit required by VR audio systems and is suitable for quick head movements during the rendering process. | eng |
| dc.format | PDF | |
| dc.format.extent | p. 1-4 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | Conference Proceedings Citation Index - Science (Web of Science) | |
| dc.relation.isreferencedby | Scopus | |
| dc.relation.isreferencedby | IEEE Xplore | |
| dc.source.uri | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8977123 | |
| dc.source.uri | https://ieeexplore.ieee.org/document/8977123/references#references | |
| dc.title | Listener movement prediction based realistic real-time binaural rendering | |
| dc.type | Straipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB | |
| dcterms.references | 14 | |
| dc.type.pubtype | P1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Elektronikos fakultetas / Faculty of Electronics | |
| dc.subject.researchfield | T 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering | |
| dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
| dc.subject.vgtuprioritizedfields | IK05 - Virtuali ir pridėtinė realybė / Virtual and augmented reality | |
| dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
| dc.subject.en | acoustic signal processing | |
| dc.subject.en | virtual reality | |
| dc.subject.en | binaural render | |
| dcterms.sourcetitle | 7th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE’2019), 15-16 November 2019, Liepaja, Latvia : proceedings | |
| dc.publisher.name | IEEE | |
| dc.publisher.city | New York | |
| dc.identifier.doi | 000542912800033 | |
| dc.identifier.doi | 10.1109/AIEEE48629.2019.8977123 | |
| dc.identifier.elaba | 61219309 | |