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Manipulation and resynthesis of environmental sounds with natural wavelet grains Hoskinson, Reynald
Abstract
A technique is presented to facilitate the creation of constantly changing, randomized audio streams from samples of source material. A core motivation is to make it easier to quickly create soundscapes for virtual environments and other scenarios where long streams of audio are used. While mostly in the background, these streams are vital for the creation of mood and realism in these types of applications. Our approach is to extract the component parts of sampled audio signals, and use them to synthesize a continuous audio stream of indeterminate length. An automatic speech recognition algorithm involving wavelets is used to split up the input signal into syllable-like audio segments. The segments are taken from the original sample and are not transformed in any way. For each segment, a table of similarity between it and all the other segments is constructed. The segments are then output in a continuous stream, with the next segment being chosen from among those other segments which best follow from it. In this way, we can construct an infinite number of variations on the original signal with a minimum amount of interaction. An interface for the manipulation and playback of several of these streams is provided to facilitate building complex audio environments.
Item Metadata
Title |
Manipulation and resynthesis of environmental sounds with natural wavelet grains
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
2002
|
Description |
A technique is presented to facilitate the creation of constantly changing,
randomized audio streams from samples of source material. A core motivation is to
make it easier to quickly create soundscapes for virtual environments and other scenarios
where long streams of audio are used. While mostly in the background, these
streams are vital for the creation of mood and realism in these types of applications.
Our approach is to extract the component parts of sampled audio signals,
and use them to synthesize a continuous audio stream of indeterminate length. An
automatic speech recognition algorithm involving wavelets is used to split up the
input signal into syllable-like audio segments. The segments are taken from the
original sample and are not transformed in any way.
For each segment, a table of similarity between it and all the other segments
is constructed. The segments are then output in a continuous stream, with the next
segment being chosen from among those other segments which best follow from
it. In this way, we can construct an infinite number of variations on the original
signal with a minimum amount of interaction. An interface for the manipulation
and playback of several of these streams is provided to facilitate building complex
audio environments.
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Extent |
4186933 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-08-12
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0051535
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
2002-05
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.