In recent years computer-aided statistical decision techniques based on electronic and/or visual analyses have proven to be powerful tools for classifying passive sonar signals. Nonetheless, they have not equalled the capabilities of the human auditory system in classifying these complex sounds. This chapter is primarily a review of the author's experimental work over a number of years on human perception of complex sounds and the role of meaningfulness and familiarity in signal identification.