Computational auditory scene analysis (CASA) is the study of auditory scene analysis by computational means. In essence, CASA systems are "machine listening" systems that aim to separate mixtures of sound sources in the same way that human listeners do. CASA differs from the field of blind signal separation in that it is (at least to some extent) based on the mechanisms of the human auditory system, and thus uses no more than two microphone recordings of an acoustic environment. It is related to the cocktail party problem.
Read more about Computational Auditory Scene Analysis: Principles
Famous quotes containing the words scene and/or analysis:
“The House of Lords, architecturally, is a magnificent room, and the dignity, quiet, and repose of the scene made me unwillingly acknowledge that the Senate of the United States might possibly improve its manners. Perhaps in our desire for simplicity, absence of title, or badge of office we may have thrown over too much.”
—M. E. W. Sherwood (1826–1903)
“Analysis as an instrument of enlightenment and civilization is good, in so far as it shatters absurd convictions, acts as a solvent upon natural prejudices, and undermines authority; good, in other words, in that it sets free, refines, humanizes, makes slaves ripe for freedom. But it is bad, very bad, in so far as it stands in the way of action, cannot shape the vital forces, maims life at its roots. Analysis can be a very unappetizing affair, as much so as death.”
—Thomas Mann (1875–1955)