نتایج جستجو برای: auditory segregation

تعداد نتایج: 99909  

2007
MOUNYA ELHILALI SHIHAB SHAMMA

The question of how everyday cluttered acoustic environments are parsed by the auditory system into separate streams is one of the most fundamental in perceptual science. Despite its importance, the study of its underlying neural mechanisms remains in its infancy; with a lack of general frameworks to account for both psychoacoustic and physiological experimental findings. Consequently, the few ...

2005
Felix Almonte Viktor K. Jirsa Edward W. Large Betty Tuller

We aim to capture the perceptual dynamics of auditory streaming using a neurally inspired model of auditory processing. Traditional approaches view streaming as a competition of streams, realized within a tonotopically organized neural network. In contrast, we view streaming to be a dynamic integration process which resides at locations other than the sensory specific neural subsystems. This pr...

Journal: :Current Biology 2008
Jan W.H. Schnupp

Separating a mixture of sounds into its constituent parts is a complex process likely to involve many processing stages. A new study suggests that the first steps in that process may occur already at the level of the first auditory processing centre in the brainstem.

2015
Susann Deike Peter Heil Martin Böckmann-Barthel André Brechmann

Researchers of auditory stream segregation have largely taken a bottom-up view on the link between physical stimulus parameters and the perceptual organization of sequences of ABAB sounds. However, in the majority of studies, researchers have relied on the reported decisions of the subjects regarding which of the predefined percepts (e.g., one stream or two streams) predominated when subjects l...

2015
Lakshmi Krishnan Shihab Shamma

Title of dissertation: NEUROMORPHIC MODEL FOR SOUND SOURCE SEGREGATION Lakshmi Krishnan, Doctor of Philosophy, 2015 Dissertation directed by: Professor Shihab Shamma Department of Electrical and Computer Engineering While humans can easily segregate and track a speaker’s voice in a loud noisy environment, most modern speech recognition systems still perform poorly in loud background noise. The ...

2016
Hossein Talebi

Background and Aim: Foundations and mechanisms of auditory scene analysis (ASA) including segregation and integration were especially reviewed in the study. I focused on the related studies using event-related potentials (ERPs). Recent Findings: Publications on ASA using ERPs from 1971 to 2014 indicate neural mechanisms of ASA in central auditory system. Conclusion: ASA results in recognition o...

2013
Constantin Spille Mathias Dietz Volker Hohmann Bernd T. Meyer

The human auditory system is known to be able to easily analyze and decompose complex acoustic scenes into its constituent acoustic sources. This requires the integration of a multitude of acoustic cues, a phenomenon that is often referred to as cocktail-party processing. Auditory Scene Analysis, especially the segregation and comprehension of concurrent speakers, is one of the key features in ...

Journal: :The Journal of the Acoustical Society of America 2014
Orsolya Szalárdy Alexandra Bendixen Tamás M Böhm Lucy A Davies Susan L Denham István Winkler

While many studies have assessed the efficacy of similarity-based cues for auditory stream segregation, much less is known about whether and how the larger-scale structure of sound sequences support stream formation and the choice of sound organization. Two experiments investigated the effects of musical melody and rhythm on the segregation of two interleaved tone sequences. The two sets of ton...

2017
James Rankin Pamela J. Osborn Popp John Rinzel

Segregating distinct sound sources is fundamental for auditory perception, as in the cocktail party problem. In a process called the build-up of stream segregation, distinct sound sources that are perceptually integrated initially can be segregated into separate streams after several seconds. Previous research concluded that abrupt changes in the incoming sounds during build-up-for example, a s...

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