Titlebook: Speech Separation by Humans and Machines; Pierre Divenyi Book 2005 Springer-Verlag US 2005 Information.Neuroscience.cognition.computer sci

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ific to speech sounds or any other type of sounds, and to exist in many species other than humans. It seems to involve assigning spectral energy to distinct “auditory objects” and “streams” that serve as the mental representations of distinct sound sources in the environment and the patterns that they make as 978-1-4419-5460-2978-0-387-22794-8

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Speech Recognizer Based Maximum Likelihood Beamforming,

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Source Separation, Localization, and Comprehension in Humans, Machines, and Human-machine Systems,

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Peter Carianireviously identified all cases where the representation of . is I-dimensional and the generalized Verma-like module is irreducible; for these cases they proved that unitarity is automatic. B. Gross and Wallach had proved unitarity for additional cases for a restricted class of groups when the repres