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Computational auditory scene analysis information


Computational auditory scene analysis (CASA) is the study of auditory scene analysis by computational means.[1] 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.

  1. ^ Wang, D. L. and Brown, G. J. (Eds.) (2006). Computational auditory scene analysis: Principles, algorithms and applications. IEEE Press/Wiley-Interscience

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Computational auditory scene analysis

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Computational auditory scene analysis (CASA) is the study of auditory scene analysis by computational means. In essence, CASA systems are "machine listening"...

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auditory scene analysis (ASA) is a proposed model for the basis of auditory perception. This is understood as the process by which the human auditory...

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is simplified a great deal. The field of computational auditory scene analysis attempts to achieve auditory source separation using an approach that is...

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Pitt. "Auditory Perception". Archived from the original on 2010-04-10. DeLiang Wang; Guy J. Brown (2006). Computational auditory scene analysis: principles...

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meaningful extrapolation. For example, sensory cues include visual cues, auditory cues, haptic cues, olfactory cues and environmental cues. Sensory cues...

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military, or for factory or construction workers. Auditory processing disorder Auditory scene analysis Blind signal separation Cognitive inhibition Crossmodal...

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