Object-based audio capture : separating acoustically-mixed sounds

Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 1999.

Bibliographic Details
Main Author: Westner, Alexander George, 1974-
Other Authors: V. Michael Bove, Jr.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/9739
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author Westner, Alexander George, 1974-
author2 V. Michael Bove, Jr.
author_facet V. Michael Bove, Jr.
Westner, Alexander George, 1974-
author_sort Westner, Alexander George, 1974-
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 1999.
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language eng
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spelling mit-1721.1/97392020-05-05T13:38:55Z Object-based audio capture : separating acoustically-mixed sounds Westner, Alexander George, 1974- V. Michael Bove, Jr. Program in Media Arts and Sciences (Massachusetts Institute of Technology) Architecture. Program in Media Arts and Sciences Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 1999. Includes bibliographical references (p. 111-114). This thesis investigates how a digital system can recognize and isolate individual sound sources, or audio objects, from an environment containing several sounds. The main contribution of this work is the application of object-based audio capture to unconstrained real-world environments. Several potential applications for object-based audio capture are outlined, and current blind source separation and deconvolution (BSSD) algorithms that have been applied to acoustically-mixed sounds are reviewed. An explanation of the acoustics issues in object-based audio capture is provided, including an argument for using overdetermined mixtures to yield better source separation. A thorough discussion of the difficulties imposed by a real-world environment is offered, followed by several experiments which compare how different filter configurations and filter lengths, as well as reverberant environments, all have an impact on the performance of object-based audio capture. A real-world implementation of object-based audio capture in a conference room with two people speaking is also discussed. This thesis concludes with future directions for research in object-based audio capture. Alexander George Westner. S.M. 2005-08-19T19:50:28Z 2005-08-19T19:50:28Z 1999 1999 Thesis http://hdl.handle.net/1721.1/9739 42722706 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 114 p. 6573010 bytes 6572768 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Architecture. Program in Media Arts and Sciences
Westner, Alexander George, 1974-
Object-based audio capture : separating acoustically-mixed sounds
title Object-based audio capture : separating acoustically-mixed sounds
title_full Object-based audio capture : separating acoustically-mixed sounds
title_fullStr Object-based audio capture : separating acoustically-mixed sounds
title_full_unstemmed Object-based audio capture : separating acoustically-mixed sounds
title_short Object-based audio capture : separating acoustically-mixed sounds
title_sort object based audio capture separating acoustically mixed sounds
topic Architecture. Program in Media Arts and Sciences
url http://hdl.handle.net/1721.1/9739
work_keys_str_mv AT westneralexandergeorge1974 objectbasedaudiocaptureseparatingacousticallymixedsounds