Pilot Data for a New Headphone-Based Assessment of Absolute Localization in the Assessment of Auditory Processing Disorder (APD). [PDF]
Hargreaves J +3 more
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Replicating outdoor environments using VR and ambisonics: a methodology for accurate audio-visual recording, processing and reproduction. [PDF]
Georgiou F +3 more
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Serial recall in spatial acoustic environments: irrelevant sound effect and spatial source alternations. [PDF]
Ermert CA +5 more
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Efficacy of electronic travel aids for the blind and visually impaired during wayfinding. [PDF]
Pittet CE +5 more
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Toward Sound Localization Testing in Virtual Reality to Aid in the Screening of Auditory Processing Disorders. [PDF]
Ramírez M +4 more
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The influence of complex classroom noise on auditory selective attention. [PDF]
Breuer C +6 more
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Development and Biological Characterization of Fluorescent Dynorphins for the Visualization of Kappa Opioid Receptors. [PDF]
Kalaba P +13 more
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Alternatives to HRTF measurement
2012 35th International Conference on Telecommunications and Signal Processing (TSP), 2012This paper compares methods to acquire the HRTF (Head Related Transfer Function) applicable to navigation purposes, especially for the visually impaired. The most frequently used method for the HRTF acquisition (in general case) is the direct measurement of the HRTF. However, this method is very time-demanding.
František Rund
exaly +2 more sources
Immersive audio technologies, ranging from rendering spatialized sounds accurately to efficient room simulations, are vital to the success of augmented and virtual realities. To produce realistic sounds through headphones, the human body and head must both be taken into account. However, the measurement of the influence of the external human morphology
Engel, I +6 more
openaire +2 more sources
Autoencoding HRTFS for DNN Based HRTF Personalization Using Anthropometric Features
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019We proposed a deep neural network (DNN) based approach to synthesize the magnitude of personalized head-related transfer functions (HRTFs) using anthropometric features of the user. To mitigate the over-fitting problem when training dataset is not very large, we built an autoencoder for dimensional reduction and establishing a crucial feature set to ...
Tzu-Yu Chen, Tzu-Hsuan Kuo, Tai-Shih Chi
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