Classification of transient signals (acoustic signals)
Khosrow Lashkari, B. Friedlander, Jaba Deva Krupa Abel, Barbara K. McQuiston · 2003
The authors are concerned with the classification of transient signals. Spectral ratio distance measures operating on the parametric spectra of the transient signals are used to perform classification. Performance of the classification algorithm is studied analytically and experimentally using both synthetic and real data. In addition to spectral features, the classification system also utilizes some side information such as transient duration and other temporal features. It was found that the symmetrized Itakura distance operating on high-order autoregressive spectra yields recognition rates of 87% on a library of 23 transients of six types.>