Sound Onset Localization and Partial Tracking in Gaussian White Noise
Ludger Solbach, Rolf Wöhrmann · 1996
In auditory scene analysis the detection of common partial onsets is an important clue for event formation. Our wavelet based approach for onset localization does not suffer from either smearing effects caused by windowing in the time domain nor from consistency problems caused by multiband level thresholding. Furthermore the method makes use of the beneficial effect of partial removal by adaptive signal cancelling. The results presented indicate that our approach is a promising basis for multicomponent acoustic signal separation. 1 System Architecture The fundamental signals considered in our approach are time limited sinusoid functions disturbed by Gaussian white noise. Our model for these signals consists of two basic components, an onset part and a steady part. These parts correspond to two types of agents used in the system called the master module and the partial tracker module (PTM) shown in fig.1 and in fig.2, respectively. There is exactly one master module in t...