Object-based audio capture : separating acoustically-mixed sounds
Name
42722706-MIT.pdf
Description
Full printable version
Size
9.15 MB
Format
Adobe PDF
Checksum (MD5)
2e7c7dbc8ba620c4625b01896c97e098
Author(s)
Westner, Alexander George, 1974-
Advisor(s)
V. Michael Bove, Jr.
Date Issued
1999
Publisher
Massachusetts Institute of Technology
Abstract
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.
Description
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).
Subjects
Architecture. Program in Media Arts and Sciences
MIT Department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
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