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Computational Models Of The Auditory System
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Book Synopsis Computational Models of the Auditory System by : Ray Meddis
Download or read book Computational Models of the Auditory System written by Ray Meddis and published by Springer Science & Business Media. This book was released on 2010-06-16 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Springer Handbook of Auditory Research presents a series of comprehensive and synthetic reviews of the fundamental topics in modern auditory research. The v- umes are aimed at all individuals with interests in hearing research including advanced graduate students, post-doctoral researchers, and clinical investigators. The volumes are intended to introduce new investigators to important aspects of hearing science and to help established investigators to better understand the fundamental theories and data in fields of hearing that they may not normally follow closely. Each volume presents a particular topic comprehensively, and each serves as a synthetic overview and guide to the literature. As such, the chapters present neither exhaustive data reviews nor original research that has not yet appeared in pe- reviewed journals. The volumes focus on topics that have developed a solid data and conceptual foundation rather than on those for which a literature is only beg- ning to develop. New research areas will be covered on a timely basis in the series as they begin to mature.
Book Synopsis Computational Models of Auditory Function by : Steven Greenberg
Download or read book Computational Models of Auditory Function written by Steven Greenberg and published by . This book was released on 2001 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Auditory Computation by : Harold L. Hawkins
Download or read book Auditory Computation written by Harold L. Hawkins and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: The auditory system presents many features of a complex computational environment, as well as providing numerous opportunities for computational analysis. This volume represents an overview of computational approaches to understanding auditory system function. The chapters share the common perspective that complex information processing must be understood at multiple levels; that disciplines such as neurobiology, psychophysics, and computer science make vital contributions; and that the end product of computational analysis should be the development of formal models.
Book Synopsis A Computational Model of Auditory Pattern Recognition by : Sven E. Anderson
Download or read book A Computational Model of Auditory Pattern Recognition written by Sven E. Anderson and published by . This book was released on 1994 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Evaluation of the Non-linear Properties of Two Computational Models of the Peripheral Auditory System by : Isaac Smart
Download or read book Evaluation of the Non-linear Properties of Two Computational Models of the Peripheral Auditory System written by Isaac Smart and published by . This book was released on 2015 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Auditory System and Human Sound-Localization Behavior by : John van Opstal
Download or read book The Auditory System and Human Sound-Localization Behavior written by John van Opstal and published by Academic Press. This book was released on 2016-03-29 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Auditory System and Human Sound-Localization Behavior provides a comprehensive account of the full action-perception cycle underlying spatial hearing. It highlights the interesting properties of the auditory system, such as its organization in azimuth and elevation coordinates. Readers will appreciate that sound localization is inherently a neuro-computational process (it needs to process on implicit and independent acoustic cues). The localization problem of which sound location gave rise to a particular sensory acoustic input cannot be uniquely solved, and therefore requires some clever strategies to cope with everyday situations. The reader is guided through the full interdisciplinary repertoire of the natural sciences: not only neurobiology, but also physics and mathematics, and current theories on sensorimotor integration (e.g. Bayesian approaches to deal with uncertain information) and neural encoding. Quantitative, model-driven approaches to the full action-perception cycle of sound-localization behavior and eye-head gaze control Comprehensive introduction to acoustics, systems analysis, computational models, and neurophysiology of the auditory system Full account of gaze-control paradigms that probe the acoustic action-perception cycle, including multisensory integration, auditory plasticity, and hearing impaired
Book Synopsis Auditory Signal Processing by : Daniel Pressnitzer
Download or read book Auditory Signal Processing written by Daniel Pressnitzer and published by Springer Science & Business Media. This book was released on 2006-03-14 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the papers that were presented at the XIIIth International Symposium on Hearing (ISH), which was held in Dourdan, France, between August 24 and 29, 2003. From its first edition in 1969, the Symposium has had a distinguished tradition of bringing together auditory psychologists and physiologists. Hearing science now also includes computational modeling and brain imaging, and this is reflected in the papers collected. The rich interactions between participants during the meeting were yet another indication of the appositeness of the original idea to confront approaches around shared scientific issues. A total of 62 solicited papers are included, organized into 12 broad thematic areas ranging from cochlear signal processing to plasticity and perceptual learning. The themes follow the sessions and the chronological order of the paper presentations during the symposium. A notable feature of the ISH books is the transcription of the discussions between participants. A draft version of the book is circulated before the meeting, and all participants are invited to make written comments, before or during the presentations. This particularity is perhaps what makes the ISH book series so valuable as a truthful picture of the evolution of issues in hearing science. We tried to uphold this tradition, which was all the easier because of the excellent scientific content of the discussions.
Book Synopsis Computational Auditory Scene Analysis by : David F. Rosenthal
Download or read book Computational Auditory Scene Analysis written by David F. Rosenthal and published by CRC Press. This book was released on 2021-01-31 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Computer Models of Acoustical and Electrical Stimulation of Neurons in the Auditory System by : Marek Rudnicki
Download or read book Computer Models of Acoustical and Electrical Stimulation of Neurons in the Auditory System written by Marek Rudnicki and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Auditory Saliency by : Varinthira Duangudom Delmotte
Download or read book Computational Auditory Saliency written by Varinthira Duangudom Delmotte and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this dissertation research is to identify sounds that grab a listener's attention. These sounds that draw a person's attention are sounds that are considered salient. The focus here will be on investigating the role of saliency in the auditory attentional\r : process. In order to identify these salient sounds, we have developed a computational auditory saliency model inspired by our understanding of the human auditory system and auditory perception.\r : \r : By identifying salient sounds we can obtain a better understanding of how sounds are processed by the auditory system, and in particular, \r : the key features contributing to sound salience. Additionally, studying the salience of different auditory stimuli can lead to improvements in the performance of current computational models in\r : several different areas, by making use of the information obtained about what stands out perceptually to observers in a particular scene.\r : Auditory saliency also helps to rapidly sort the information present in a complex auditory scene. Since our resources are finite, not all information can be processed equally. We must, therefore, be able to quickly determine the importance of different objects in a scene.\r : Additionally, an immediate response or decision may be required. In order to respond, the observer needs to know the key elements of the\r : scene. The issue of saliency is closely related to many different areas, including scene analysis.\r : \r : The thesis provides a comprehensive look at auditory saliency. It explores the advantages and limitations of using auditory saliency models through different experiments and presents a general computational auditory saliency model that can be used for various applications.
Book Synopsis From Sound Waves to Locations : Computational Models for Sound Source Localization in the Early Auditory Pathway by : Timo Oess
Download or read book From Sound Waves to Locations : Computational Models for Sound Source Localization in the Early Auditory Pathway written by Timo Oess and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Symposium, Computational Models of Hearing and Vision, Tallinn, November 19-21, 1984 by :
Download or read book Symposium, Computational Models of Hearing and Vision, Tallinn, November 19-21, 1984 written by and published by . This book was released on 1984 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Beiträge zur Intensivierung der Chicoreeproduktion in der DDR by :
Download or read book Beiträge zur Intensivierung der Chicoreeproduktion in der DDR written by and published by . This book was released on 1975 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Sound-source Recognition by : Keith Dana Martin
Download or read book Sound-source Recognition written by Keith Dana Martin and published by . This book was released on 1999 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Computational Model of Auditory Masking Based on Signal Dependent Compression by : Jörg M. Buchholz
Download or read book A Computational Model of Auditory Masking Based on Signal Dependent Compression written by Jörg M. Buchholz and published by . This book was released on 2003-01 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Neurophysiological Bases of Auditory Perception by : Enrique Lopez-Poveda
Download or read book The Neurophysiological Bases of Auditory Perception written by Enrique Lopez-Poveda and published by Springer Science & Business Media. This book was released on 2010-03-23 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at the 15th International Symposium on Hearing (ISH), which was held at the Hotel Regio, Santa Marta de Tormes, Salamanca, Spain, between 1st and 5th June 2009. Since its inception in 1969, this Symposium has been a forum of excellence for debating the neurophysiological basis of auditory perception, with computational models as tools to test and unify physiological and perceptual theories. Every paper in this symposium includes two of the following: auditory physiology, psychoph- ics or modeling. The topics range from cochlear physiology to auditory attention and learning. While the symposium is always hosted by European countries, p- ticipants come from all over the world and are among the leaders in their fields. The result is an outstanding symposium, which has been described by some as a “world summit of auditory research. ” The current volume has a bottom-up structure from “simpler” physiological to more “complex” perceptual phenomena and follows the order of presentations at the meeting. Parts I to III are dedicated to information processing in the peripheral au- tory system and its implications for auditory masking, spectral processing, and c- ing. Part IV focuses on the physiological bases of pitch and timbre perception. Part V is dedicated to binaural hearing. Parts VI and VII cover recent advances in und- standing speech processing and perception and auditory scene analysis. Part VIII focuses on the neurophysiological bases of novelty detection, attention, and learning.
Book Synopsis Speech Analysis and Cognition Using Category-dependent Features in a Model of the Central Auditory System by : Woojay Jeon
Download or read book Speech Analysis and Cognition Using Category-dependent Features in a Model of the Central Auditory System written by Woojay Jeon and published by . This book was released on 2006 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is well known that machines perform far worse than humans in recognizing speech and audio, especially in noisy environments. One method of addressing this issue of robustness is to study physiological models of the human auditory system and to adopt some of its characteristics in computers. As a first step in studying the potential benefits of an elaborate computational model of the primary auditory cortex (A1) in the central auditory system, we qualitatively and quantitatively validate the model under existing speech processing recognition methodology. Next, we develop new insights and ideas on how to interpret the model, and reveal some of the advantages of its dimension-expansion that may be potentially used to improve existing speech processing and recognition methods. This is done by statistically analyzing the neural responses to various classes of speech signals and forming empirical conjectures on how cognitive information is encoded in a category-dependent manner. We also establish a theoretical framework that shows how noise and signal can be separated in the dimension-expanded cortical space. Finally, we develop new feature selection and pattern recognition methods to exploit the category-dependent encoding of noise-robust cognitive information in the cortical response. Category-dependent features are proposed as features that "specialize" in discriminating specific sets of classes, and as a natural way of incorporating them into a Bayesian decision framework, we propose methods to construct hierarchical classifiers that perform decisions in a two-stage process. Phoneme classification tasks using the TIMIT speech database are performed to quantitatively validate all developments in this work, and the results encourage future work in exploiting high-dimensional data with category(or class)-dependent features for improved classification or detection.
