Welcome to the InfoSci Platform
Reference Hub1
Audition: From Sound to Sounds

Audition: From Sound to Sounds

Tjeerd C. Andringa
Copyright: © 2011 |Pages: 27
ISBN13: 9781615209194|ISBN10: 1615209190|ISBN13 Softcover: 9781616923693|EISBN13: 9781615209200
DOI: 10.4018/978-1-61520-919-4.ch004
Cite Chapter Cite Chapter

MLA

Andringa, Tjeerd C. "Audition: From Sound to Sounds." Machine Audition: Principles, Algorithms and Systems, edited by Wenwu Wang, IGI Global, 2011, pp. 80-106. https://doi.org/10.4018/978-1-61520-919-4.ch004

APA

Andringa, T. C. (2011). Audition: From Sound to Sounds. In W. Wang (Ed.), Machine Audition: Principles, Algorithms and Systems (pp. 80-106). IGI Global. https://doi.org/10.4018/978-1-61520-919-4.ch004

Chicago

Andringa, Tjeerd C. "Audition: From Sound to Sounds." In Machine Audition: Principles, Algorithms and Systems, edited by Wenwu Wang, 80-106. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61520-919-4.ch004

Export Reference

Mendeley
Favorite

Abstract

This chapter addresses the functional requirements of auditory systems, both natural and artificial, to be able to deal with the complexities of uncontrolled real-world input. The demand to function in uncontrolled environments has severe implications for machine audition. The natural system has addressed this demand by adapting its function flexibly to changing task demands. Intentional processes and the concept of perceptual gist play an important role in this. Hearing and listening are seen as complementary processes. The process of hearing detects the existence and general character of the environment and its main and most salient sources. In combination with task demands these processes allow the pre-activation of knowledge about expected sources and their properties. Consecutive listening phases, in which the relevant subsets of the signal are analyzed, allow the level of detail required by task- and system-demands. This form of processing requires a signal representation that can be reasoned about. A representation based on source physics is suitable and has the advantage of being situation independent. The demand to determine physical source properties from the signal imposes restrictions on the signal processing. When these restrictions are not met, systems are limited to controlled domains. Novel signal representations are needed to couple the information in the signal to knowledge about the sources in the signal.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.