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Auditory Scene Analysis


Auditory Scene Analysis
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Auditory Scene Analysis


Auditory Scene Analysis
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Author : Albert S. Bregman
language : en
Publisher: MIT Press
Release Date : 1994-09-29

Auditory Scene Analysis written by Albert S. Bregman and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-09-29 with Psychology categories.


Auditory Scene Analysis addresses the problem of hearing complex auditory environments, using a series of creative analogies to describe the process required of the human auditory system as it analyzes mixtures of sounds to recover descriptions of individual sounds. In a unified and comprehensive way, Bregman establishes a theoretical framework that integrates his findings with an unusually wide range of previous research in psychoacoustics, speech perception, music theory and composition, and computer modeling.



Computational Auditory Scene Analysis


Computational Auditory Scene Analysis
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Author : Deliang Wang
language : en
Publisher: Wiley-IEEE Press
Release Date : 2006-09-29

Computational Auditory Scene Analysis written by Deliang Wang and has been published by Wiley-IEEE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-29 with Medical categories.


Provides a comprehensive and coherent account of the state of the art in CASA, in terms of the underlying principles, the algorithms and system architectures that are employed, and the potential applications of this exciting new technology.



Auditory Neuroscience


Auditory Neuroscience
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Author : Jan Schnupp
language : en
Publisher: MIT Press
Release Date : 2011

Auditory Neuroscience written by Jan Schnupp and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Medical categories.


An integrated overview of hearing and the interplay of physical, biological, and psychological processes underlying it.



Computational Auditory Scene Analysis


Computational Auditory Scene Analysis
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Author : David F. Rosenthal
language : en
Publisher: CRC Press
Release Date : 2021-01-31

Computational Auditory Scene Analysis written by David F. Rosenthal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-31 with Technology & Engineering categories.


The interest of AI in problems related to understanding sounds has a rich history dating back to the ARPA Speech Understanding Project in the 1970s. While a great deal has been learned from this and subsequent speech understanding research, the goal of building systems that can understand general acoustic signals--continuous speech and/or non-speech sounds--from unconstrained environments is still unrealized. Instead, there are now systems that understand "clean" speech well in relatively noiseless laboratory environments, but that break down in more realistic, noisier environments. As seen in the "cocktail-party effect," humans and other mammals have the ability to selectively attend to sound from a particular source, even when it is mixed with other sounds. Computers also need to be able to decide which parts of a mixed acoustic signal are relevant to a particular purpose--which part should be interpreted as speech, and which should be interpreted as a door closing, an air conditioner humming, or another person interrupting. Observations such as these have led a number of researchers to conclude that research on speech understanding and on nonspeech understanding need to be united within a more general framework. Researchers have also begun trying to understand computational auditory frameworks as parts of larger perception systems whose purpose is to give a computer integrated information about the real world. Inspiration for this work ranges from research on how different sensors can be integrated to models of how humans' auditory apparatus works in concert with vision, proprioception, etc. Representing some of the most advanced work on computers understanding speech, this collection of papers covers the work being done to integrate speech and nonspeech understanding in computer systems.



Speech Separation By Humans And Machines


Speech Separation By Humans And Machines
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Author : Pierre Divenyi
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-01-16

Speech Separation By Humans And Machines written by Pierre Divenyi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-16 with Technology & Engineering categories.


There is a serious problem in the recognition of sounds. It derives from the fact that they do not usually occur in isolation but in an environment in which a number of sound sources (voices, traffic, footsteps, music on the radio, and so on) are active at the same time. When these sounds arrive at the ear of the listener, the complex pressure waves coming from the separate sources add together to produce a single, more complex pressure wave that is the sum of the individual waves. The problem is how to form separate mental descriptions of the component sounds, despite the fact that the “mixture wave” does not directly reveal the waves that have been summed to form it. The name auditory scene analysis (ASA) refers to the process whereby the auditory systems of humans and other animals are able to solve this mixture problem. The process is believed to be quite general, not specific 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 they change over time. How this energy is assigned will affect the perceived n- ber of auditory sources, their perceived timbres, loudnesses, positions in space, and pitches.



Thinking In Sound


Thinking In Sound
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Author : Stephen McAdams
language : en
Publisher: Oxford University Press
Release Date : 1993

Thinking In Sound written by Stephen McAdams and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Psychology categories.


The realm of auditory cognition is beginning to affirm itself as a new research orientation. Until now, no volume has existed that covers in a didactic fashion the whole range of subjects in this domain. To rectify this situation a special tutorial workshop organized by the French Acoustical Society was held at IRCAM, the music research institute founded by Pierre Boulez. Specialists in perceptual organization, memory, attention, music psychology, neurospsychology, and developmental psychology were invited from Europe and North America. The chapters of this book present the materials from their lectures. The book will be useful to advanced students in the cognitive sciences and scientists specializing in many fields as well as in auditory psychology.



Auditory Scene Analysis


Auditory Scene Analysis
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Author : Albert S. Bregman
language : en
Publisher:
Release Date : 1994

Auditory Scene Analysis written by Albert S. Bregman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Auditory perception categories.




Probing Auditory Scene Analysis


Probing Auditory Scene Analysis
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Author : Elyse S Sussman
language : en
Publisher: Frontiers E-books
Release Date : 2015-02-11

Probing Auditory Scene Analysis written by Elyse S Sussman and has been published by Frontiers E-books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-11 with Auditory pathways categories.


In natural environments, the auditory system is typically confronted with a mixture of sounds originating from different sound sources. As sounds spread over time, the auditory system has to continuously decompose competing sounds into distinct meaningful auditory objects or “auditory streams” referring to certain sound sources. This decomposition work, which was termed by Albert Bregman as “Auditory scene analysis” (ASA), involves two kinds of grouping to be done. Grouping based on simultaneous cues, such as harmonicity and on sequential cues, such as similarity in acoustic features over time. Understanding how the brain solves these tasks is a fundamental challenge facing auditory scientist. In recent years, the topic of ASA was broadly investigated in different fields of auditory research, including a wide range of methods, studies in different species, and modeling. Despite the advance in understanding ASA, it still proves to be a major challenge for auditory research. This includes verifying whether experimental findings are transferable to more realistic auditory scenes. A central approach in understanding ASA is the use of certain stimulus parameters that produce an ambiguous percept. The advantage of such an approach is that different perceptual organizations can be studied without varying physical stimulus parameters. Additionally, the perception of ambiguous stimuli can be volitionally controlled by intention or task. By using this one can mirror real hearing situations where listeners intent to identify and to localize auditory sources. Recently it was also found that in classical auditory streaming sequences perceptual ambiguity was not restricted to but was observed over a broad range of stimulus parameters. The proposed Research Topic pursues to bring together scientist in the different fields of auditory research whose work addresses the issue of perceptual ambiguity. Researchers were welcome to contribute experimental reports, computational modeling, and reviews that consider auditory ambiguity in its modality specific characteristics as well as in comparison to visual ambiguous figures. The overall goal of contributions was to consider the experimental findings from the perspective of real auditory scenes. In a broader sense, the Research Topic was open for contributions which are related to the issue of active listening in complex scenes.