- A. Waibel, Robert G. Malkin. 2006. Machine listening for context-aware computing. Abstract: Machine listening is an area of study which is rapidly increasing in importance. The proliferation of massive sensory corpora, together with the perceptual needs of smart computational devices and smart spaces has lead to this increase. Machine listening provides both a computationally cheap alternative to machine vision, and a source of information that is complementary to visual information; hence, perceptual systems which lack the ability to process auditory information will in general perform less well than those which can process auditory information. Machine listening is also interesting in its own right, as research into computational auditory processing can help to shed light on general principles of perception, and on how our own perceptual systems work. This thesis describes machine listening research designed to solve real-world problems in perceptual and context-aware computing. 
