Linked Life Data

11785822

Source:http://linkedlifedata.com/resource/pubmed/id/11785822

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2002-1-10
pubmed:abstractText
Normal vowels are known to have irregularities in the pitch-to-pitch variation which is quite important for speech signals to be perceived as natural human sound. Such pitch-to-pitch variation of vowels is studied in the light of nonlinear dynamics. For the analysis, five normal vowels recorded from three male and two female subjects are exploited, where the vowel signals are shown to have normal levels of the pitch-to-pitch variation. First, by the false nearest-neighbor analysis, nonlinear dynamics of the vowels are shown to be well analyzed by using a relatively low-dimensional reconstructing dimension of 4 < or = d < or = 7. Then, we further studied nonlinear dynamics of the vowels by spike-and-wave surrogate analysis. The results imply that there exists nonlinear dynamical correlation between one pitch-waveform pattern to another in the vowel signals. On the basis of the analysis results, applicability of the nonlinear prediction technique to vowel synthesis is discussed.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0001-4966
pubmed:author
pubmed:issnType
Print
pubmed:volume
110
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
3207-17
pubmed:dateRevised
2006-12-27
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Surrogate analysis for detecting nonlinear dynamics in normal vowels.
pubmed:affiliation
Department of Computer Science and Systems Engineering, Muroran Institute of Technology, Hokkaido, Japan. tokuda@csse.muroran-it.ac.jp
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't