International Conference on Information Science Signal Processing and their Applications (ISSPA)
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.