TL;DR: This book presents a meta-modelling framework for automating the very labor-intensive and therefore time-heavy and expensive process of manually cataloging and reconstructing musical structures in data from Chaotic Attraction.
Abstract: Foreword (Albert Bregman) An Introduction to Auditory Display (Gregory Kramer) Delivery of Information Through Sound (James A. Ballas) Perceptual Principles in Sound Grouping (Sheila M. Williams) Spatial Sound and Sonification (Elizabeth M. Wenzel) Pattern and Reference in Auditory Display (Robin Bargar) Environments for Exploring Auditory Representations of Multidimensional Data (Stuart Smith, Ronald M. Pickett, and Marian G. Williams) Some Organizing Principles for Representing Data with Sound (Gregory Kramer) Sound Synthesis Algorithms for Auditory Data Representations (Carla Scaletti) Sonnet: Audio-Enhanced Monitoring and Debugging (David H. Jameson) A Framework for Sonification Design (Tara M. Madhyastha and Daniel A. Reed) Synchronization of Visual and Aural Parallel Program Performance Data (Jay Alan Jackson and Joan M. Francioni) Sonifying the Body Electric: Superiority of an Auditory over a Visual Display in a Complex, Multivariate System (W. Tecumeseh Fitch and Gregory Kramer) Auditory Display of Computational Fluid Dynamics Data (Kevin McCabe and Akil Rangwalla) Musical Structures in Data from Chaotic Attractors (Gottfried Mayer-Kress, Robin Bargar, and Insook Choi) Listening to the Earth Sing (Chris Hayward) Multivariate Data Mappings (Sara Bly).
TL;DR: A new definition for sonification and auditory display is introduced that emphasizes the necessary and sufficient conditions for organized sound to be called sonification, and suggests a taxonomy, and discusses the relation between visualization and sonification.
Abstract: Sonification is still a relatively young research field and many terms such as sonification, auditory display, auralization, audification have been used without a precise definition. Recent developments such as the introduction of Model-Based Sonification, the establishment of interactive sonification and the increased interest in sonification from arts have raised the need to revisit the definitions in order to move towards a clearer terminology. This paper introduces a new definition for sonification and auditory display that emphasizes the necessary and sufficient conditions for organized sound to be called sonification. It furthermore suggests a taxonomy, and discusses the relation between visualization and sonification. A hierarchy of closed-loop interactions is furthermore introduced. This paper aims to initiate vivid discussion towards the establishment of a deeper theory of sonification and auditory display.
TL;DR: By means of acoustic approach things like tectonic type, distance between focus and station, site response and event recognition are easier to handle than so far possible by means of more conventional scientific strategies.
Abstract: In which respect, to what effect and under which circumstances can audification improve seismological research? Building on the philosophical insight that the human ear is admittedly stronger than any other of our senses in recognizing time, continuum and tension between remembrance and expectation my investigation prepares for an acoustic prediction research. Hereby several geophysical categories are confirmed and will, in some cases, even be improved. By means of acoustic approach things like tectonic type, distance between focus and station, site response and event recognition are easier to handle than so far possible by means of more conventional scientific strategies.
TL;DR: The high sensitivity of the sonification method indicates that the technique could lead to improved detection of knee-joint abnormalities; however, additional work is required to improve its specificity and achieve better overall performance.
Abstract: Computer-assisted auscultation of knee joints by auditory display of vibroarthrographic signals emitted during active movement of the leg include audification and sonification. In audification, the vibroarthrographic signals are scaled in time and frequency using a time-frequency distribution to facilitate aural analysis. In sonification, the instantaneous mean frequency and envelope of the vibroarthrographic signals are derived and used to synthesize sounds that may facilitate more accurate diagnosis than the original signals by improving their aural quality.
TL;DR: A software package has been developed that converts signals from standard EDF (or EDF+) format to standard audio (WAV) format, a process usually called audification, and a wide range of audified signals are described, stressing the analogy with familiar sounds.