| Paper: | SPTM-P6.1 | ||
| Session: | Non-Stationary Signal Analysis and Modeling | ||
| Time: | Thursday, May 20, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Non-stationary Signals & Time-Frequency Analysis | ||
| Title: | SEPARATION OF IMPULSIVE ACOUSTICAL EVENTS | ||
| Authors: | Xue Wen; Samsung Advanced Institute of Technology | ||
| Yuan-Yuan Shi; Samsung Advanced Institute of Technology | |||
| Bin She; Samsung Advanced Institute of Technology | |||
| Abstract: | Impulsive acoustical events, or impacts, compose a big family of everyday sounds. Detection and separation of these sounds is an important task of current computational auditory scene analysis. In this paper we propose a method along with an online architecture for detecting and separating acoustical impacts, which is able to find out each and every impulsive acoustical event in a continuous data flow. An energy density function on a time-frequency span is given as the result of separating each impact from the background and other overlapping impacts. Onsets are used for finding events. A prediction-based method is introduced for separating events that overlap both in time and in frequency. The method does not rely on spectral peak tracks or harmonic properties, thus is applicable to a broad class of sounds. | ||
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