| Abstract: |
There are several ways to approach the problem
of the
Auditory Scene Analysis (ASA). Human perception and cortex
processing have inspired several researchers to develop algorithms that
can partially solve the problem under very tight assumptions.
Psychoacoustic experiments have shown that the segregation of sound
sources is boosted if the sounds are already known. In this
presentation we approach the problem of separating midi sounds from a
rich auditory scene. The algorithm is based on the fact that there is
prior knowledge of the midi source. A variation of an audio fingerprint
method developed by PHILIPS is used in order to index prerecorded midi
sounds in a database.
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