Acoustic signal mixtures from the environment often manifest interesting structural properties. These features can be used to generate musical forms, but access is a problem. Here, Probabilistic Latent Component Analysis (PLCA) has been used to automatically extract independent sources from a mixed signal of environmental sounds. Excitation information corresponding to the temporal evolution of independent acoustic sources in the original environment is extracted.