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.

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.

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.

Perspectives on Auditory Research celebrates the last two decades of the Springer Handbook in Auditory Research. Contributions from the leading experts in the field examine the progress made in auditory research over the past twenty years, as well as the major questions for the future.

This book is a printed edition of the Special Issue "Sound and Music Computing" that was published in Applied Sciences

This book constitutes, together with its compagnion LNCS 1606, the refereed proceedings of the International Work-Conference on Artificial and Neural Networks, IWANN'99, held in Alicante, Spain in June 1999. The 91 revised papers presented were carefully reviewed and selected for inclusion in the book. This volume is devoted to applications of biologically inspired artificial neural networks in various engineering disciplines. The papers are organized in parts on artificial neural nets simulation and implementation, image processing, and engineering applications.

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 then elaborated at various stages along the auditory pathways in the brain that lead from the cochlea to the cerebral cortex. The broad purpose of Auditory Spectral Processing is to provide a comprehensive account of the way in which spectral information is processed in the brain and the way in which this information is used by listeners to identify and localize sounds. Examines spectral processing mechanisms at different levels along the auditory neuraxis, from the cochlear nucleus to the cortex Reviews in detail psychophysical and neurophysiological evidence on the way in which spectral information is processed within and across frequency channels Presents information on the nature of the spectral information required for speech and music perception Examines a series of issues that relate to the role of spectral analysis in higher order/cognitive aspects of hearing and in clinical and applied contexts