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Computational Auditory Scene Analysis - Proceedings of the Ijcai-95 Workshop (Paperback)
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Computational Auditory Scene Analysis - Proceedings of the Ijcai-95 Workshop (Paperback)
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The interest of AI in problems related to understanding sounds has
a rich history dating back to the ARPA Speech Understanding Project
in the 1970s. While a great deal has been learned from this and
subsequent speech understanding research, the goal of building
systems that can understand general acoustic signals--continuous
speech and/or non-speech sounds--from unconstrained environments is
still unrealized. Instead, there are now systems that understand
"clean" speech well in relatively noiseless laboratory
environments, but that break down in more realistic, noisier
environments. As seen in the "cocktail-party effect," humans and
other mammals have the ability to selectively attend to sound from
a particular source, even when it is mixed with other sounds.
Computers also need to be able to decide which parts of a mixed
acoustic signal are relevant to a particular purpose--which part
should be interpreted as speech, and which should be interpreted as
a door closing, an air conditioner humming, or another person
interrupting. Observations such as these have led a number of
researchers to conclude that research on speech understanding and
on nonspeech understanding need to be united within a more general
framework. Researchers have also begun trying to understand
computational auditory frameworks as parts of larger perception
systems whose purpose is to give a computer integrated information
about the real world. Inspiration for this work ranges from
research on how different sensors can be integrated to models of
how humans' auditory apparatus works in concert with vision,
proprioception, etc. Representing some of the most advanced work on
computers understanding speech, this collection of papers covers
the work being done to integrate speech and nonspeech understanding
in computer systems.
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