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Georgia Institute of Technology

Computational auditory saliency

Abstract

dc:description.abstract

The objective of this dissertation research is to identify sounds that grab a listener's attention. These sounds that draw a person's attention are sounds that are considered salient. The focus here will be on investigating the role of saliency in the auditory attentional process. In order to identify these salient sounds, we have developed a computational auditory saliency model inspired by our understanding of the human auditory system and auditory perception. By identifying salient sounds we can obtain a better understanding of how sounds are processed by the auditory system, and in particular, the key features contributing to sound salience. Additionally, studying the salience of different auditory stimuli can lead to improvements in the performance of current computational models in several different areas, by making use of the information obtained about what stands out perceptually to observers in a particular scene. Auditory saliency also helps to rapidly sort the information present in a complex auditory scene. Since our resources are finite, not all information can be processed equally. We must, therefore, be able to quickly determine the importance of different objects in a scene. Additionally, an immediate response or decision may be required. In order to respond, the observer needs to know the key elements of the scene. The issue of saliency is closely related to many different areas, including scene analysis. The thesis provides a comprehensive look at auditory saliency. It explores the advantages and limitations of using auditory saliency models through different experiments and presents a general computational auditory saliency model that can be used for various applications.

Degree

thesis:*
Department dc:contributor.department
Electrical and Computer Engineering
Grantor dc:publisher
Georgia Institute of Technology
Year dc:date.issued
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Delmotte, Varinthira Duangudom
Advisor dc:contributor.advisor
  • Anderson, David V.
Committee members dc:contributor.committeemember
  • Bhatti, Pamela
  • Lanterman, Aaron
  • Walker, Bruce
  • Williams, Doug

Subjects

dc:subject × 4

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1853/45888
OAI identifier oai:identifier
oai:repository.gatech.edu:1853/45888

Chain of custody

source
Harvested from
Georgia Tech
Base URL
repository.gatech.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Delmotte, Varinthira Duangudom. Computational auditory saliency. Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45888