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Using Android Smartphones to Collect Precise Measures of Reaction Times to Multisensory Stimuli. [PDF]
Sensors (Basel)Roussel U +4 more
europepmc +1 more source
Pilot Data for a New Headphone-Based Assessment of Absolute Localization in the Assessment of Auditory Processing Disorder (APD). [PDF]
Audiol ResHargreaves J +3 more
europepmc +1 more source
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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 +3 more sources
The SONICOM HRTF Dataset [PDF]
Journal of the Audio Engineering Society, 2023 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
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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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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), 2018A 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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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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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 +3 more
openaire +2 more sources
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 +3 more
openaire +2 more sources