Abstract
We present a method for automated sound quality evaluation of push-button sounds based on wavelet analysis. Push-button sounds are represented in the time-frequency plane using the continuous wavelet transform. For each sound, multiscale features identifying sound characteristics in terms of sound pressure and reverberation are compactly represented with triangular biorthogonal wavelets that are two-dimensional nonseparable wavelets defined on a triangular lattice. Together with an auditory impression of the sounds extracted by the semantic differential method, a preliminary experiment is then performed to evaluate automated recognition of push-button sounds using their features.
