Techniques for Soundscape Retrieval and Synthesis

abstract: The study of acoustic ecology is concerned with the manner in which life interacts with its environment as mediated through sound. As such, a central focus is that of the soundscape: the acoustic environment as perceived by a listener. This dissertation examines the application of several...

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Other Authors: Mechtley, Brandon (Author)
Format: Doctoral Thesis
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/2286/R.I.20991
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spelling ndltd-asu.edu-item-209912018-06-22T03:04:42Z Techniques for Soundscape Retrieval and Synthesis abstract: The study of acoustic ecology is concerned with the manner in which life interacts with its environment as mediated through sound. As such, a central focus is that of the soundscape: the acoustic environment as perceived by a listener. This dissertation examines the application of several computational tools in the realms of digital signal processing, multimedia information retrieval, and computer music synthesis to the analysis of the soundscape. Namely, these tools include a) an open source software library, Sirens, which can be used for the segmentation of long environmental field recordings into individual sonic events and compare these events in terms of acoustic content, b) a graph-based retrieval system that can use these measures of acoustic similarity and measures of semantic similarity using the lexical database WordNet to perform both text-based retrieval and automatic annotation of environmental sounds, and c) new techniques for the dynamic, realtime parametric morphing of multiple field recordings, informed by the geographic paths along which they were recorded. Dissertation/Thesis Mechtley, Brandon (Author) Spanias, Andreas S (Advisor) Sundaram, Hari (Advisor) Cook, Perry R (Committee member) Li, Baoxin (Committee member) Arizona State University (Publisher) Computer science Music Acoustics acoustic ecology environmental sound retrieval soundscape synthesis eng 136 pages Ph.D. Computer Science 2013 Doctoral Dissertation http://hdl.handle.net/2286/R.I.20991 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2013
collection NDLTD
language English
format Doctoral Thesis
sources NDLTD
topic Computer science
Music
Acoustics
acoustic ecology
environmental sound
retrieval
soundscape
synthesis
spellingShingle Computer science
Music
Acoustics
acoustic ecology
environmental sound
retrieval
soundscape
synthesis
Techniques for Soundscape Retrieval and Synthesis
description abstract: The study of acoustic ecology is concerned with the manner in which life interacts with its environment as mediated through sound. As such, a central focus is that of the soundscape: the acoustic environment as perceived by a listener. This dissertation examines the application of several computational tools in the realms of digital signal processing, multimedia information retrieval, and computer music synthesis to the analysis of the soundscape. Namely, these tools include a) an open source software library, Sirens, which can be used for the segmentation of long environmental field recordings into individual sonic events and compare these events in terms of acoustic content, b) a graph-based retrieval system that can use these measures of acoustic similarity and measures of semantic similarity using the lexical database WordNet to perform both text-based retrieval and automatic annotation of environmental sounds, and c) new techniques for the dynamic, realtime parametric morphing of multiple field recordings, informed by the geographic paths along which they were recorded. === Dissertation/Thesis === Ph.D. Computer Science 2013
author2 Mechtley, Brandon (Author)
author_facet Mechtley, Brandon (Author)
title Techniques for Soundscape Retrieval and Synthesis
title_short Techniques for Soundscape Retrieval and Synthesis
title_full Techniques for Soundscape Retrieval and Synthesis
title_fullStr Techniques for Soundscape Retrieval and Synthesis
title_full_unstemmed Techniques for Soundscape Retrieval and Synthesis
title_sort techniques for soundscape retrieval and synthesis
publishDate 2013
url http://hdl.handle.net/2286/R.I.20991
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