聴覚の情景分析の計算モデルに対する制約条件 : 人間の知覚についての知見から言えること

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  • Constraints on computational models of auditory scene analysis, as derived from human perception

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Auditory scene analysis (ASA) groups the sensory evidence derived from a mixture of sound sources and derives separate descriptions of the individual sources. There are two possible ways of doing this: (a) using knowledge of the properties of certain classes of sounds, such as speech, in a top-down fashion; (b)using, in a bottom-up manner, those properties in the input (such as harmonic relations) that are typically found when two or more sound sources (e. g. , voice and footsteps) affect the input at the same time. Some properties of the ASA done by humans are discussed and proposed as specifications for a computational model: the adding up of evidence, the coherence of the ASA system, the combining of top-down and bottom-up constraints, as illustrated in the duplex perception of speech, and the propagation of influences across the auditory field.

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