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Deployment of head-related transfer function using all-pole filters and neural network-based storage devices

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1 Author(s)
Chu, W.C. ; Media Laboratory, DoCoMo USA Labs, San Jose, CA, USA

The present study is concerned with the use of neural networks as storage devices for the deployment of head-related transfer function (HRTF) in three-dimensional (3D) audio applications. There are two main advantages for this proposition: reduced storage cost and direct interpolation. The network structure, training procedure, and experimental results are provided to illustrate the effectiveness of our approach. It is shown that by using 35% of the original number of filter parameters, a relatively low average spectral distortion of 1.62 dB can be obtained.

Published in:

Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on  (Volume:4 )

Date of Conference:

25-29 July 2004