Signal Processing in Auditory Neuroscience

• Author : Yoichi Ando
• Publisher : Academic Press
• Release : 22 May 2018

Signal Processing in Auditory Neuroscience: Temporal and Spatial Features of Sound and Speech discusses how the physical attributes of different sounds manifest in neural signals and how to tease-apart their different influences. It includes EEG/MEG as additional variables to be considered when studying neural mechanisms of auditory processing in general, specifically in speech. Focuses on signal processing in human auditory-neuroscience Contains information that will be useful to researchers using a MEG/EEG recording of brain activity to study neural

• Author : Jan Schnupp,Israel Nelken,Andrew King
• Publisher : Mit Press
• Release : 01 August 2012

An integrated overview of hearing and the interplay of physical, biological, and psychological processes underlying it. Every time we listen--to speech, to music, to footsteps approaching or retreating--our auditory perception is the result of a long chain of diverse and intricate processes that unfold within the source of the sound itself, in the air, in our ears, and, most of all, in our brains. Hearing is an "everyday miracle" that, despite its staggering complexity, seems effortless. This book offers an

• Author : Josef Syka
• Publisher : Springer Science & Business Media
• Release : 27 June 2011

The symposium on Acoustical Signal Processing in the Central Auditory System which was held in Prague on September 4--7, 1996 was the third in a series organized in Prague, after the Neuronal Mechanisms of Hearing symposium in 1980 and Auditory Pathway - Structure and Function symposium in 1987. Approximately 100 scientists regis tered for the symposium and presented 82 separate papers and posters. The present vol ume contains 53 of these contributions, mostly presented at the symposium as invited review papers. Several essential changes occurred since

• Author : Daniel Pressnitzer,Alain de Cheveigne,Stephen McAdams,Lionel Collet
• Publisher : Springer Science & Business Media
• Release : 14 March 2006

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

• Author : Josef Syka,Michael M. Merzenich
• Publisher : Springer Science & Business Media
• Release : 22 November 2006

The symposium that has provided the basis for this book, "Plasticity of the Central Auditory System and Processing of Complex Acoustic Signals" was held in Prague on July 7-10, 2003. This is the fourth in a series of seminal meetings summarizing the state of development of auditory system neuroscience that has been organized in that great world city. Books that have resulted from these meetings represent important benchmarks for auditory neuroscience over the past 25 years. A 1980 meeting, "Neuronal Mechanisms of Hearing"

• Author : Proceedings of the National Academy of Sciences,Masakazu Konishi
• Publisher : National Academies Press
• Release : 01 May 2001

• Author : Shih-Chii Liu,John G. Harris,Mounya Elhilali,Malcolm Slaney
• Publisher : Frontiers Media SA
• Release : 05 December 2019

Neurophysiology and biology provide useful starting points to help us understand and build better audio processing systems. The papers in this special issue address hardware implementations, spiking networks, sound identification, and attention decoding.

• Author : Anonim
• Publisher : Mdpi AG
• Release : 15 March 2017

Audio signal processing is a highly active research field where digital signal processing theory meets human sound perception and real-time programming requirements. It has a wide range of applications in computers, gaming, and music technology, to name a few of the largest areas. Successful applications include, for example, perceptual audio coding, digital music synthesizers, and music recognition software. The fact that music is now often listened to using headphones from a mobile device leads to new problems related to background

• Author : Manuel S. Malmierca,Dexter R. F. Irvine
• Publisher : Gulf Professional Publishing
• Release : 07 December 2005

All natural auditory signals, including human speech and animal communication signals, are spectrally and temporally complex, that is, they contain multiple frequencies and their frequency composition, or spectrum, varies over time. The ability of hearers to identify and localize these signals depends on analysis of their spectral composition. For the overwhelming majority of human listeners spoken language is the major means of social communication, and this communication therefore depends on spectral analysis. Spectral analysis begins in the cochlea, but is

• Author : Ben Gold,Nelson Morgan,Dan Ellis
• Publisher : John Wiley & Sons
• Release : 23 August 2011

When Speech and Audio Signal Processing published in 1999,it stood out from its competition in its breadth of coverage andits accessible, intutiont-based style. This book was aimed atindividual students and engineers excited about the broad span ofaudio processing and curious to understand the availabletechniques. Since then, with the advent of the iPod in 2001,the field of digital audio and music has exploded, leading to amuch greater interest in the technical aspects of audioprocessing. This Second Edition will update and revise

• Author : Jean-Philippe Thiran,Ferran Marqués,Hervé Bourlard
• Publisher : Academic Press
• Release : 11 November 2009

Multimodal signal processing is an important research and development field that processes signals and combines information from a variety of modalities – speech, vision, language, text – which significantly enhance the understanding, modelling, and performance of human-computer interaction devices or systems enhancing human-human communication. The overarching theme of this book is the application of signal processing and statistical machine learning techniques to problems arising in this multi-disciplinary field. It describes the capabilities and limitations of current technologies, and discusses the technical challenges

• Author : Helen Sue Cohen
• Publisher : Lippincott Williams & Wilkins
• Release : 17 January 1999

The second edition of this introductory text uses clinical examples to bridge the gap between basic neuroscience and the practice of neurologic rehabilitation. Each chapter illustrates the relationship between the nervous system and behavior. Current, portable, and clearly written, the text covers discrete systems for acquiring information, the neural mechanisms that control specific kinds of human function, and how the nervous system responds to insult and injury. New in this edition: Neurotransmitters, support structures and blood supply, sensorimotor interaction, and

• Author : Simon Carlile
• Publisher : Springer Science & Business Media
• Release : 11 November 2013

An illusion of auditory space can be generated by the appropriate filtering of sounds presented over headphones: the so-called virtual auditory space (VAS). This book provides a bridge between many of the different disciplines that are involved in developing and exploiting this technology. The first part is fairly introductory in nature, while the second examines a number of issues relating to the generation of high fidelity virtual auditory space. The last two chapters review current research applications of VAS.

• Author : Richard F. Lyon
• Publisher : Cambridge University Press
• Release : 02 May 2017

This book describes how human hearing works and how to build machines that analyze sounds in the same way that people do.

• Author : Saeid Sanei
• Publisher : John Wiley & Sons
• Release : 28 May 2013

In this book, the field of adaptive learning and processing is extended to arguably one of its most important contexts which is the understanding and analysis of brain signals. No attempt is made to comment on physiological aspects of brain activity; instead, signal processing methods are developed and used to assist clinical findings. Recent developments in detection, estimation and separation of diagnostic cues from different modality neuroimaging systems are discussed. These include constrained nonlinear signal processing techniques which incorporate sparsity,