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dc.contributor.authorMagrin-Chagnolleau, Ivan
Bimbot, Frederic
dc.creatorMagrin-Chagnolleau, Ivan
Bimbot, Frederic
dc.date.accessioned 2007-10-31T00:52:12Z
dc.date.available 2007-10-31T00:52:12Z
dc.date.issued 1996-01-01
dc.date.submitted 1996-01-01
dc.identifier.citation I. Magrin-Chagnolleau and F. Bimbot, "A Further Investigation on AR-Vector Models for Text Independent Speaker Identification," 1996.
dc.identifier.urihttps://hdl.handle.net/1911/20073
dc.description Conference Paper
dc.description.abstract In this paper, we investigate on the role of dynamic information on the performances of AR-vector models for speaker recognition. To this purpose, we design an experimental protocol that destroys the time structure of speech frame sequences, which we compare to a more conventional one, i.e. keeping the natural time order. These results are also compared with those obtained with a (single) Gaussian model. Several measures are systematically investigated in the three cases, and different ways of symmetrisation are tested. We observe that the destruction of the time order can be a factor of improvement for the AR-vector models, and that results obtained with the Gaussian model are merely always better. In most cases, symmetrisation is beneficial.
dc.language.iso eng
dc.subjectTemporary
dc.subject.otherGeneral DSP
dc.title A Further Investigation on AR-Vector Models for Text Independent Speaker Identification
dc.type Conference paper
dc.date.note 2004-01-14
dc.citation.bibtexName inproceedings
dc.date.modified 2004-11-05
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordTemporary
dc.citation.conferenceName IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1109/ICASSP.1996.540300


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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1391]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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