Parameters Estimation Through Continuous Wavelet Transform for Synthesis of Audio-Sounds
The wavelet transform consists of a decomposition of an arbitrary signal in terms of -elementary grains.- The choice of a so-called -progressive- wavelet, allows an easy interpretation of the modulus and the phase of the transform. We shall describe how this information leads to parameters estimation such as frequency and amplitude modulation laws. Audio examples of re-synthesis and intimate modifications of sounds will be played.
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.