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Testing the assumptions of linear prediction analysis in normal vowels

Abstract:

In this paper we develop an improved surrogate data test to show experimental evidence, for all the simple vowels of U.S. English, for both male and female speakers, that Gaussian linear prediction analysis, a ubiquitous technique in current speech technologies, cannot be used to extract all the dynamical structure of real speech time series. The test provides robust evidence undermining the validity of these linear techniques, supporting the assumptions of either dynamical nonlinearity and/o...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1121/1.2141266

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Institution:
University of Oxford
Role:
Author
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Institution:
University of Oxford
Role:
Author
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Institution:
University of Oxford
Department:
Oxford, MPLS, Mathematical Inst
Role:
Author
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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
Engineering and Physical Sciences Research Council More from this funder
Publisher:
Acoustical Society of America Publisher's website
Journal:
Journal of the Acoustical Society of America Journal website
Volume:
119
Issue:
1
Pages:
549-558
Publication date:
2006-01-05
DOI:
EISSN:
1520-8524
ISSN:
0001-4966
URN:
uuid:bb2954f1-9c28-4593-8bd0-4a72326cb67d
Source identifiers:
23321
Local pid:
pubs:23321

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