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pro vyhledávání: '"Shihab eShamma"'
Sound stream segregation: a neuromorphic approach to solve the ‘cocktail party problem’ in real-time
Autor:
Chetan Singh Thakur, Runchun Mark Wang, Saeed eAfshar, Tara Julia Hamilton, Jonathan eTapson, Shihab eShamma, André evan Schaik
Publikováno v:
Frontiers in Neuroscience, Vol 9 (2015)
The human auditory system has the ability to segregate complex auditory scenes into a foreground component and a background, allowing us to listen to specific speech sounds from a mixture of sounds. Selective attention plays a crucial role in this pr
Externí odkaz:
https://doaj.org/article/fae4c3288d444bff9677a49a11662484
Publikováno v:
Frontiers in Computational Neuroscience, Vol 9 (2015)
Many natural stimuli have perceptual ambiguities that can be cognitively resolved by the surrounding context. In audition, preceding context can bias the perception of speech and non-speech stimuli. Here, we develop a neuronal network model that can
Externí odkaz:
https://doaj.org/article/3bd475f889c14f5e80e6a41f072d4bd7
Publikováno v:
Frontiers in Human Neuroscience, Vol 5 (2011)
In this review paper aimed at the non-specialist, we explore the use that neuroscientists and musicians have made of perceptual illusions based on ambiguity. The pivotal issue is auditory scene analysis, or what enables us to make sense of complex ac
Externí odkaz:
https://doaj.org/article/9e9245771bf54148b9cdceaa5a922dce