Head-Related Transfer Function Selection Using Neural Networks
In binaural audio systems, for an optimal virtual acoustic space a set of head-related transfer functions (HRTFs) should be used that closely matches the listener’s ones. This study aims to select the most appropriate HRTF dataset from a large database for users without the need for extensive listen...
Saved in:
Main Authors: | Shu-Nung YAO, Tim COLLINS, Chaoyun LIANG |
---|---|
Format: | Article |
Language: | English |
Published: |
Institute of Fundamental Technological Research Polish Academy of Sciences
2017-07-01
|
Series: | Archives of Acoustics |
Subjects: | |
Online Access: | https://acoustics.ippt.pan.pl/index.php/aa/article/view/1841 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Computational modelling of head-related transfer function
by: Andrzej B. DOBRUCKI, et al.
Published: (2014-04-01) -
Cross-Dataset Head-Related Transfer Function Harmonization Based on Perceptually Relevant Loss Function
by: Jiale Zhao, et al.
Published: (2025-01-01) -
Artificial Intelligence on the Identification of Beiguan Music
by: Yu-Hsin CHANG, et al.
Published: (2021-08-01) -
A Study on of Music Features Derived from Audio Recordings Examples – a Quantitative Analysis
by: Aleksandra DOROCHOWICZ, et al.
Published: (2018-07-01) -
Effect of Individualized Head-Related Transfer Functions on Distance Perception in Virtual Reproduction for a Nearby Sound Source
by: Guangzheng YU, et al.
Published: (2019-04-01)