Web party effect: a cocktail party effect in the web environment

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Web party effect: a cocktail party effect in the web environment

In goal-directed web navigation, labels compete for selection: this process often involves knowledge integration and requires selective attention to manage the dizziness of web layouts. Here we ask whether the competition for selection depends on all web navigation options or only on those options that are more likely to be useful for information seeking, and provide evidence in favor of the la...

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A Review of The Cocktail Party Effect

The “cocktail party effect”—the ability to focus one’s listening attention on a single talker among a cacophony of conversations and background noise—has been recognized for some time. This specialized listening ability may be because of characteristics of the human speech production system, the auditory system, or high-level perceptual and language processing. This paper investigates the liter...

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Ausio-visual Segmentation and "The Cocktail Party Effect"

Audio-based interfaces usually suffer when noise or other acoustic sources are present in the environment. For robust audio recognition, a single source must first be isolated. Existing solutions to this problem generally require special microphone configurations, and often assume prior knowledge of the spurious sources. We have developed new algorithms for segmenting streams of audio-visual in...

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The cocktail party problem

Natural auditory environments, be they cocktail parties or rain forests, contain many things that concurrently make sounds. The cocktail party problem is the task of hearing a sound of interest, often a speech signal, in this sort of complex auditory setting (Figure 1). The problem is intrinsically quite difficult, and there has been longstanding interest in how humans manage to solve it. The p...

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A complex computational model of the human ability to listen to certain signals in preference of others, also called the cocktail party phenomenon, is built on the basis of surveys into the relevant psychological, DSP, and neural network literature. This model is basically binaural and as such it makes use of both spectral data and spatial data in determining which speaker to listen to. The mod...

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ژورنال

عنوان ژورنال: PeerJ

سال: 2015

ISSN: 2167-8359

DOI: 10.7717/peerj.828