Results 131 to 140 of about 766 (176)

Exploring redundancy of HRTFs for fast training DNN-based HRTF personalization

2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2018
A deep neural network (DNN) is constructed to predict the magnitude responses of the head-related transfer functions (HRTFs) of users for a specific direction and a specific ear. Using the CIPIC HRTF database (including 25 azimuth angles and 50 elevation angles for both ears), we trained 2500 DNNs to predict magnitude responses of all HRTFs of a user ...
Tzu-Yu Chen, Po-Wen Hsiao, Tai-Shih Chi
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P-HRTF: Efficient personalized HRTF computation for high-fidelity spatial sound

2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2014
Accurate rendering of 3D spatial audio for interactive virtual auditory displays requires the use of personalized head-related transfer functions (HRTFs). We present a new approach to compute personalized HRTFs for any individual using a method that combines state-of-the-art image-based 3D modeling with an efficient numerical simulation pipeline.
Alok Meshram, Ravish Mehra, Hongsheng Yang, Enrique Dunn, Jan-Michael Frahm, Dinesh Manocha   +5 more
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Dimensionality reduced HRTFs

Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology, 2008
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regression analysis or classification than the original data. Being of high dimensionality, HRTF data is commonly reduced using Principal Components Analysis (PCA).
Bill Kapralos, Nathan Mekuz, Agnieszka Kopinska, Saad Khattak   +3 more
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Differences in human audio localization performance between a HRTF- and a non-HRTF audio system

Proceedings of the 8th Audio Mostly Conference, 2013
Spatial audio solutions have been around for a long time in real-time applications, but yielding spatial cues that more closely simulate real life accuracy has been a computational issue, and has often been solved by hardware solutions. This has long been a restriction, but now with more powerful computers this is becoming a lesser and lesser concern ...
Larsen, Camilla Horne, Lauritsen, David Skødt, Larsen, Jacob Junker, Pilgaard, Marc, Madsen, Jacob Boesen   +4 more
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Sparse Representation of Hrtfs by Ear Alignment

2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019
High quality spatial sound reproduction requires individualized Head Related Transfer Functions (HRTFs) with high spatial resolution. However, measuring such HRTFs requires special and expensive equipment, which may be unavailable for most users. Therefore, reproduction of high resolution HRTFs from sparsely measured HRTFs is of great importance ...
Zamir Ben-Hur, David Lou Alon, Ravish Mehra, Boaz Rafaely   +3 more
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HRTF interpolation in the wavelet transform domain

2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009
This paper presents a new HRTF (Head Related Transfer Function) interpolation technique for three-dimensional sound generation. The proposed approach is based on the determination of the optimal weights to be applied to the HRTF coefficients of neigh-boring positions in the wavelet domain in order to obtain the HRTF at a given point.
Julio C. B. Torres, Mariane R. Petraglia
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Individuality of HRTF

2019
As described in Chap. 2 and 3, reproduction of the subject’s own HRTFs provides accurate sound image localization. On the other hand, using the other’s HRTFs causes problems, such as front-back error, rising of a sound image, and inside-of-head localization. This chapter describes in detail past actions for the individualization of HRTFs and the latest
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HRTF database at FIU DSP Lab

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
Head Related Transfer Functions (HRTFs) are signal processing models that represent the modifications undergone by the acoustic signal as it interacts with the listener's body. HRTFs can be used to generate binaural sound as they contain all the information about the sound source's location.
Navarun Gupta, Armando Barreto, Manan Joshi, Juan Carlos Agudelo   +3 more
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Numerical study of the influence of the torso on the HRTF

IEEE International Conference on Acoustics Speech and Signal Processing, 2002
Understanding and simplified modeling of how humans generate cues from the scattering of sounds from their bodies holds the key to many applications in spatial audio. Scattering from the torso is thought to provide cues for source localization. A simplified two-sphere model has been proposed to understand the influence of the torso, and experimental ...
Nail A. Gumerov, Ramani Duraiswami, Zhihui Tang   +2 more
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Measuring Anthropometric Data for HRTF Personalization

2010 Sixth International Conference on Signal-Image Technology and Internet Based Systems, 2010
Nowadays, multimodal human-like sensing, e.g. vision, hap tics and audition seeks to improve interaction between an operator (human) and a teleoperator (robot) in human centered robotic systems. Head Related Transfer Function (HRTF) based sound rendering techniques, which seek to create a realistic virtual auditory space for listeners, have become a ...
Martin Rothbucher, Tim Habigt, Julian Habigt, Thomas Riedmaier, Klaus Diepold   +4 more
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