Cocktails and brainwaves-experiments with complex and subliminal auditory stimuli

摘要: The paper deals with the problem of processing acoustic signals originating from multiple sources in a potentially noisy environment. Previous research speech and cognitive modelling has tended to concentrate on single relatively noise free signals. Separating out different multitude is significant part human auditory processing. In research, we are dealing known as cocktail party syndrome. polyphonic music involves similar challenges, scene analysis (ASA) been proposed means separating component identifying their sources. subliminal processing, signal which masked conscious awareness by provides an extreme form source permits exploration boundary between unconscious presented employs machine learning associative models characterize track individual signals, uses electroencephalographic (EEG) more precisely multimodal