AES E-Library

AES E-Library

Automated Evaluation for Button Sounds from Wavelet-Based Features

Document Thumbnail

We present a feature extraction method that evaluates the audio quality of push-button sounds based on wavelet transforms. Using a continuous wavelet transform, push-button sounds are represented in the time-frequency plane. For each sound, features identifying sound characteristics in terms of sound pressure and reverberation are compactly represented with triangular biorthogonal wavelets. These wavelets belong to a two-dimensional nonseparable set of functions that enable a multiscale signal representation. Together with an auditory impression of the sounds extracted by the semantical differential method, a preliminary experiment is then performed to evaluate automated recognition of push-button sounds using wavelet analysis.

AES Conference:
Paper Number:
Publication Date:

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!

AES - Audio Engineering Society