A new algorithm is proposed which prepares a set of sound localization transfer functions (SLTFs) for a sound localization system with binaural earphones. A listener in a teleconference system can choose the best SLTFs from the set prepared in advance. This avoids the trouble of measuring SLTFs individually and maintains good perceptual localization performance. This algorithm reduces the vector order of the individual SLTFs, for example, from 512 to 16, using cepstrum parameters. The SLTF vectors are classified ito several clusters using the Linde, Buzo, and Gray method, and the SLTF nearest each cluster's centroid is chosen as the typical SLTF in the cluster. The subjective performance of sound localization is shown in which the proposed algorithm selects typical SLTFs from among 94 measured SLTFs.
Authors:
Shimada, Shoji; Hayashi, Nobuo; Hayashi, Shinji
Affiliation:
NTT Human Interface Laboratories, Yokosuka, Musashino, Japan
JAES Volume 42 Issue 7/8 pp. 577-584; July 1994
Publication Date:
July 1, 1994
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.
To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.
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.