Signal Processing, Acoustics, and Psychoacoustics for High Quality Desktop Audio
✍ Scribed by Chris Kyriakakis; Tomlinson Holman; Jong-Soong Lim; Hai Hong; Hartmut Neven
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 510 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1047-3203
No coin nor oath required. For personal study only.
✦ Synopsis
namic range), multichannel and emerging 3D audio pro-Integrated media workstations are increasingly being used gram material requires accurate spatial perception of for creating, editing, and monitoring sound that is associated sound as well in order to create a seamless aural environwith video or computer-generated images. While the requirement and achieve sound localization relative to visual imments for high quality reproduction in large-scale systems are ages. For such material, a mismatch between the aurally well understood, these have not yet been adequately translated perceived and visually observed positions of a particular to the workstation environment. In this paper we discuss several sound causes a cognitive dissonance that can seriously limit factors that pertain to high quality sound reproduction at the the desired suspension of disbelief [1].
desktop, including acoustical and psychoacoustical considera-
Applications for high-quality desktop audio include protions, signal processing requirements, and the importance of fessional sound editing for film and television, immersive dynamically adapting the reproduced sound as the listener's telepresence, augmented and virtual reality, distance learnhead moves. We present a desktop audio system that incorporates several novel design requirements and integrates vision-ing, and home entertainment. Such a wide variety of applibased listener-tracking for accurate spatial sound reproduction. cations has led to an equally wide variety of interrelated, We conclude with a discussion of the role the pinnae play in and at times conflicting, system requirements that arise immersive (3D) audio reproduction and present a method of from fundamental physical limitations as well as current pinna classification that allows users to select a set of parametechnological drawbacks [2]. For example, while there have ters that closely match their individual listening characteristics. been advances in sound recording and reproduction tech-