Multichannel Sound Reproduction Quality Improves with Angular Separation of Direct and Reflected Sounds - June 2015
Clean Audio for TV broadcast: An Object-Based Approach for Hearing-Impaired Viewers - April 2015
Audibility of a CD-Standard A/DA/A Loop Inserted into High-Resolution Audio Playback - September 2007
Automated Evaluation for Button Sounds from Wavelet-Based Features
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.
Click to purchase paper 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 $20 for non-members, $5 for AES members and is free for E-Library subscribers.