A Clustering Method for Sound Localization Transfer Functions
Shoji Shimada, N. Hayashi, Shinji Hayashi · Journal of the Audio Engineering Society · 1994
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 STLFs individually and maintains good perceptual localization performance. This algorithm reduces the vector order of the individual SLTFs, using cepstrum parameters. The SLTF vectors are classified into several clusters using the Linde, Buzo, and Gray method, and the SLTF nearest each cluster's centroid is chosen as the typical SLTF the cluster