There is a class of sounds that is often overlooked, like the sound of a crowd or the rain. We refer to such sounds with constant long term characteristics as Sound Textures (ST). This thesis describes aspects of the human perception and machine processing of sound textures. Most people are not adept at putting words on auditory impres-sions, but they cm compare and identify sound textures. We per-formed three perception experiments on ST’s. A Similarity Experiment let us build a map where symbols that are close corre-spond to ST that are perceived similar. A Grouping Experiment pro-vided groups of ST’s that share a characteristic and a name; we call these groups P-classes. Finally, an Trajectory Map(Richards) Experi-ment points to some features used by subjects to compare ST’s For machine processing, we look at two levels: local features, which we call Sound Atoms, and the distribution of Sound Atoms in time. In the implemented classification system, the low-level analysi
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