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Статті в журналах з теми "HRTF individualization"
Jiang, Ziran, Jinqiu Sang, Chengshi Zheng, Andong Li, and Xiaodong Li. "Modeling individual head-related transfer functions from sparse measurements using a convolutional neural network." Journal of the Acoustical Society of America 153, no. 1 (January 2023): 248–59. http://dx.doi.org/10.1121/10.0016854.
Повний текст джерелаBraren, Hark Simon, and Janina Fels. "Towards Child-Appropriate Virtual Acoustic Environments: A Database of High-Resolution HRTF Measurements and 3D-Scans of Children." International Journal of Environmental Research and Public Health 19, no. 1 (December 29, 2021): 324. http://dx.doi.org/10.3390/ijerph19010324.
Повний текст джерелаWang, Lei, Xiangyang Zeng, and Xiyue Ma. "Advancement of Individualized Head-Related Transfer Functions (HRTFs) in Perceiving the Spatialization Cues: Case Study for an Integrated HRTF Individualization Method." Applied Sciences 9, no. 9 (May 7, 2019): 1867. http://dx.doi.org/10.3390/app9091867.
Повний текст джерелаYao, Dingding, Jiale Zhao, Longbiao Cheng, Junfeng Li, Xiaodong Li, Xiaochao Guo, and Yonghong Yan. "An individualization approach for head-related transfer function in arbitrary directions based on deep learning." JASA Express Letters 2, no. 6 (June 2022): 064401. http://dx.doi.org/10.1121/10.0011575.
Повний текст джерелаJenny, Claudia, and Christoph Reuter. "Usability of Individualized Head-Related Transfer Functions in Virtual Reality: Empirical Study With Perceptual Attributes in Sagittal Plane Sound Localization." JMIR Serious Games 8, no. 3 (September 8, 2020): e17576. http://dx.doi.org/10.2196/17576.
Повний текст джерелаHur, Yoo-Mi, Young-Cheol Park, Seok-Pil Lee, and Dae-Hee Youn. "Efficient Individualization Method of HRTFs Using Critical-band Based Spectral Cue Control." Journal of the Acoustical Society of Korea 30, no. 4 (May 31, 2011): 167–80. http://dx.doi.org/10.7776/ask.2011.30.4.167.
Повний текст джерелаSingh, O. S., and S. P. Singh. "Providers' view of improving compliance of hormone replacement therapy (HRT) in primary care through counseling and individualization of treatment." International Journal of Gynecology & Obstetrics 70 (2000): B50. http://dx.doi.org/10.1016/s0020-7292(00)86264-5.
Повний текст джерелаHargrove, J. T., and J. Beckum. "Utility of Estradiol and Progesterone Suspended in Propylene Glycol and Administered Transdermal by the Drop for More Accurate Individualization of HRT." Menopause 6, no. 4 (1999): 364–65. http://dx.doi.org/10.1097/00042192-199906040-00137.
Повний текст джерелаGutierrez-Parera, Pablo, Jose J. Lopez, Javier M. Mora-Merchan, and Diego F. Larios. "Interaural time difference individualization in HRTF by scaling through anthropometric parameters." EURASIP Journal on Audio, Speech, and Music Processing 2022, no. 1 (May 12, 2022). http://dx.doi.org/10.1186/s13636-022-00241-y.
Повний текст джерела"Individualization of OC and HRT (O-247-248)." Human Reproduction 17, suppl 1 (July 1, 2002): 85–86. http://dx.doi.org/10.1093/humrep/17.suppl_1.85-a.
Повний текст джерелаДисертації з теми "HRTF individualization"
Rugeles, Ospina Felipe. "Individualisation de l'écoute binaurale : création et transformation des indices spectraux et des morphologies des individus." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066209/document.
Повний текст джерелаThis thesis focuses on the HRTF individualization problem in the context of binaural synthesis for general applications. HRTF strongly depend on morphological features of a person and, in order to provide compelling auditory spaces, binaural synthesis requires the use of individualized HRTF. Measuring or calculating the HRTF of a listener are common but lengthy and costly methods that are not feasible for general public applications. That is the reason why we aim to develop an alternative technique to obtain customized HRTF. The technique proposed relies on estimating the spectral cues of the HRTF, corresponding to the colorations induced by pinna filtering, from a person's morphology. The spectral cues represent the most complex and individual part of HRTF. The work presented in this thesis is based on the existence of a direct and systematic link between the morphology of a person and the spectral cues of their HRTF. The goal is to start from individualization techniques of HRTF and make studies for better understanding the relationship between the morphology of a person and their HRTF. The ultimate goal is then to find a proper morphological matching personalization technique. The first step to achieve this goal is to build the measuring systems who will help us create the databases that we will use for our analyses. This thesis explains the two measuring systems that were created and the measuring protocols that were used to create two related databases containing the 3D models and the measured HRTFs of a collection of people. We then explain how these databases can be used to fit the HRTF individualization technique we have proposed
Zhang, Mengqiu. "Experimental guided spherical harmonics based head-related transfer function modeling." Phd thesis, 2012. http://hdl.handle.net/1885/9796.
Повний текст джерелаТези доповідей конференцій з теми "HRTF individualization"
Miccini, Riccardo, and Simone Spagnol. "HRTF Individualization using Deep Learning." In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE, 2020. http://dx.doi.org/10.1109/vrw50115.2020.00084.
Повний текст джерелаZhang, M., R. A. Kennedy, T. D. Abhayapala, and W. Zhang. "Statistical method to identify key anthropometric parameters in hrtf individualization." In 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA 2011). IEEE, 2011. http://dx.doi.org/10.1109/hscma.2011.5942401.
Повний текст джерелаFantini, Davide, Federico Avanzini, Stavros Ntalampiras, and Giorgio Presti. "HRTF Individualization Based on Anthropometric Measurements Extracted from 3D Head Meshes." In 2021 Immersive and 3D Audio: from Architecture to Automotive (I3DA). IEEE, 2021. http://dx.doi.org/10.1109/i3da48870.2021.9610904.
Повний текст джерелаHe, Jianjun, Woon-Seng Gan, and Ee-Leng Tan. "On the preprocessing and postprocessing of HRTF individualization based on sparse representation of anthropometric features." In ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7178047.
Повний текст джерела