Results 11 to 20 of about 2,571 (215)
CAAI Transactions on Intelligence Technology, 2023 The head‐related transfer function (HRTF) plays a vital role in immersive virtual reality and augmented reality technologies, especially in spatial audio synthesis for binaural reproduction.
Rui Zhang +5 more
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HRTF Individualization using Deep Learning [PDF]
2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2020 The research presented in this paper focuses on Head-Related Transfer Function (HRTF) individualization using deep learning techniques. HRTF individualization is paramount for accurate binaural rendering, which is used in XR technologies, tools for the visually impaired, and many other applications. The rising availability of public HRTF data currently
Miccini, Riccardo, Spagnol, Simone
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CAAI Transactions on Intelligence Technology, 2022 Various time‐frequency (T‐F) masks are being applied to sound source localization tasks. Moreover, deep learning has dramatically advanced T‐F mask estimation. However, existing masks are usually designed for speech separation tasks and are suitable only
Hong Liu +4 more
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3D photogrammetry as a low‐cost and non‐invasive method for acoustic modelling of animal hearing
Methods in Ecology and EvolutionSound localization is important for all eared animals and the spatio‐spectral cues for localization are described through the head‐related transfer function (HRTF). Current state‐of‐the‐art for obtaining the HRTF involves either direct measurement with a
Karsten Krautwald Vesterholm +3 more
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Personalized HRTF Modeling Based on Deep Neural Network Using Anthropometric Measurements and Images of the Ear [PDF]
Applied Sciences, 2018 This paper proposes a personalized head-related transfer function (HRTF) estimation method based on deep neural networks by using anthropometric measurements and ear images. The proposed method consists of three sub-networks for representing personalized
Geon Woo Lee, Hong Kook Kim
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Modeling the Contralateral HRTF [PDF]
, 1999 We show how the contralateral head-related transfer function (HRTF) can be modeled by a simple transformation of the ipsilateral HRTF. Components of the transformation are based on a spherical model of the listener's head. Listening tests reveal that the average localization error introduced by the model is approximately 5 degree.
Avendano, Carlos +2 more
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Partial Learning in Human Sound Localization With Asymmetric Ears. [PDF]
Eur J NeurosciGiving humans asymmetric barn‐owl ears disrupts elevation localization by removing normal spectral pinna cues. With experience, listeners partially relearn to localize elevation using novel binaural cues. Results show that adult auditory spatial processing is flexible enough to repurpose cues but strongly constrained in the extent of relearning ...
Bremen P +3 more
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On Making Descendant Communities: Three Case Studies From Historical Bioarchaeology. [PDF]
Am J Biol AnthropolABSTRACT Bioarchaeologists, museums and universities, journal editorial boards, and academic professional organizations are working toward ethical engagements with human remains, with a focus on descendant community engagement. This article reexamines past and present bioarchaeological descendant community engagement to consider how “descendant ...
Warner-Smith AL, Hosek LR, Ellis MAB.
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An individualization approach for head-related transfer function in arbitrary directions based on deep learning [PDF]
JASA Express Letters, 2022 This paper provides an individualization approach for head-related transfer function (HRTF) in arbitrary directions based on deep learning by utilizing dual-autoencoder architecture to establish the relationship between HRTF magnitude spectrum and ...
Dingding Yao +6 more
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HRTF Field: Unifying Measured HRTF Magnitude Representation with Neural Fields
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 Head-related transfer functions (HRTFs) are a set of functions describing the spatial filtering effect of the outer ear (i.e., torso, head, and pinnae) onto sound sources at different azimuth and elevation angles. They are widely used in spatial audio rendering.
You Zhang 0001 +2 more
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