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Development and Validation of the Spatial Separation Sentence Test in Kannada. [PDF]
J Audiol OtolHermon AM +3 more
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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
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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
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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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P-HRTF: Efficient personalized HRTF computation for high-fidelity spatial sound
2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2014Accurate 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 +5 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.
Frantisek Rund, Filip Saturka
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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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HRTF modeling for efficient auralization
2003 IEEE International Symposium on Industrial Electronics ( Cat. No.03TH8692), 2004This paper presents a computationally efficient auralization method, which combines a wavelet-based model for head related transfer functions (HRTFs) with the grouping of such functions for close directions. The proposed method results in a significant reduction of the processing time of the auralization process, by modeling the HRTFs using wavelet ...
J.C.B. Torres +2 more
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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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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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Efficient aliasing-free HRTF representation
The Journal of the Acoustical Society of America, 2017Previous studies have shown that individualized head related transfer functions (HRTFs) provide improved localization performance compared to generic HRTF filters, and are therefore considered preferable for binaural sound reproduction. However, individualized HRTFs typically require a large number of measurements, which may extend to several hours ...
David L. Alon +3 more
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