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Research Article
01 July 2009
Authors: M. Farrús and J. Hernando
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Abstract
Jitter and shimmer are measures of the fundamental frequency and amplitude cycle-to-cycle variations, respectively. Both features have been largely used for the description of pathological voices, and since they characterise some aspects concerning particular voices, they are expected to have a certain degree of speaker specificity. In the current work, jitter and shimmer are successfully used in a speaker verification experiment. Moreover, both measures are combined with spectral and prosodic features using several types of normalisation and fusion techniques in order to obtain better verification results. The overall speaker verification system is also improved by using histogram equalisation as a normalisation technique previous to fusing the features by support vector machines.
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Information and Authors
Information
Published in
IET Signal Processing
Volume 3 • Issue 4 • 01 July 2009
Pages: 247 - 257
Copyright
© The Institution of Engineering and Technology.
History
Published in print: 01 July 2009
Published online: 31 March 2024
Inspec keywords
- jitter
- speaker recognition
- support vector machines
Keywords
- jitter
- shimme
- speaker verification
- pathological voices
- spectral feature
- prosodic feature
- normalisation techniques
- fusion techniques
- histogram equalisation
- support vector machines
Authors
Affiliations
M. Farrús
TALP Research Centre, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, C/Jordi-Girona 1-3, Barcelona, 08034, Spain
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J. Hernando
TALP Research Centre, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, C/Jordi-Girona 1-3, Barcelona, 08034, Spain
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