Three wavelet-based spectral smoothing techniques are presented in this paper as a pre-processing stage for head-related transfer function (HRTF) filter design. These wavelet-based methods include wavelet denoising, wavelet approximation, and redundant wavelet transform. These methods are used with time-domain parametric filter design methods to reduce the order of IIR filters which is useful for real-time implementation of immersive audio systems. Results of a subjective listening test are then presented in order to justify the perceptual validity of the investigated smoothing methods. Results show that wavelet based spectral smoothing methods are beneficial in reducing the filter order and increasing the perception of localization without introducing any noticeable effect on timbre.

Authors: Hacihabiboglu, Huseyin; Gunel, Banu; Murtagh, Fionn
Affiliation: Sonic Arts Research Centre (SARC), Queen’s University Belfast, Belfast, UK
AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio (June 2002)
Paper Number: 000246
Publication Date: June 1, 2002
Subject: Virtual, Synthetic and Entertainment Audio

Click to purchase paper as a non-member or you can login as an AES member to see more options.

No AES members have commented on this paper yet.

Subscribe to this discussion

To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.

Start a discussion!

If you would like to start a discussion about this paper and are an AES member then you can login here:
Username:
Password:

If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.