Generating Personalized Head-Related Transfer Function (HRTF) using Scanned Mesh from iPhone FaceID
| dc.contributor.author | Liu, Wenkang | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för arkitektur och samhällsbyggnadsteknik (ACE) | sv |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för arkitektur och samhällsbyggnadsteknik (ACE) | en |
| dc.contributor.examiner | Ahrens, Jens | |
| dc.contributor.supervisor | Dombrovskis, Sergejs | |
| dc.date.accessioned | 2024-04-12T07:25:37Z | |
| dc.date.available | 2024-04-12T07:25:37Z | |
| dc.date.issued | 2023 | |
| dc.date.submitted | ||
| dc.description.abstract | In recent years, the advancements in virtual reality (VR) and augmented reality (AR) technologies have been impressive. Binaural audio rendering plays a vital role in these technologies and is used in various applications such as gaming, video conferencing, and hearing aids. Providing a high-quality immersive experience in a virtual environment heavily relies on the spatial audio quality. The head-related transfer function (HRTF) describes how sound is filtered by the head, torso, and ears as it travels from the sound source to the listener’s eardrum. To achieve spatial audio that better matches auditory perception, researchers have proposed several HRTF personalization methods, including measurement methods, database matching methods, modeling simulation methods, and anthropometric pa rameter regression methods. This paper proposes a new modeling simulation method for personalized HRTF workflow that consists of three parts. Firstly, the participant’s face and torso are scanned in 3D using the iPhone Face ID component. Secondly, the scanned mesh is optimized and cleaned using MeshLab and Blender. Finally, the personalized HRTF is generated using Mesh2hrtf and COMSOL. The effectiveness of the personalized HRTF is evaluated by comparing the simulated HRTF with the measured HRTF. Moreover, a test is designed using an adjustable equalizer-based headphone-speaker control to evaluate the performance of the generated personalized HRTF. The results demonstrate that the HRTF generated using the FaceID scan grid is highly comparable to the measured HRTF and produces predictable outcomes in the listening test. This method shows promise as a low-cost alternative for cus tomizing HRTFs. | |
| dc.identifier.coursecode | ACEX30 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12380/307650 | |
| dc.language.iso | eng | |
| dc.setspec.uppsok | Technology | |
| dc.subject | spacial audio, auditory perception, psychoacoustics, head-related trans fer functions(HRTF), 3D scanning, mesh optimization, boundary element method(BEM), sound quality | |
| dc.title | Generating Personalized Head-Related Transfer Function (HRTF) using Scanned Mesh from iPhone FaceID | |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.degree | Master's Thesis | en |
| dc.type.uppsok | H | |
| local.programme | Sound and vibration (MPSOV), MSc |