Second-Order Statistical Measures for Text-Independent Speaker Identification

dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameSpeech Communicationen_US
dc.contributor.authorBimbot, Fredericen_US
dc.contributor.authorMagrin-Chagnolleau, Ivanen_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:37:19Z
dc.date.available2007-10-31T00:37:19Z
dc.date.issued1995-08-20en
dc.date.modified2004-01-22en_US
dc.date.note2004-01-14en_US
dc.date.submitted1995-08-20en_US
dc.descriptionConference Paperen_US
dc.description.abstractThis article presents an overview of several measures for speaker recognition. These measures relate to second-order statistical tests, and can be expressed under a common formalism. Alternate formulations of these measures are given and their mathematical properties are studied. In their basic form, these measures are asymmetric, but they can be symmetrized in various ways. All measures are tested in the framework of text-independent closed-set speaker identification, on 3 variants of the TIMIT database (630 speakers) : TIMIT (high quality speech), FTIMIT (a restricted bandwidth version of TIMIT) and NTIMIT (telephone quality). Remarkable performances are obtained on TIMIT but the results naturally deteriorate with FTIMIT and NTIMIT. Symmetrization appears to be a factor of improvement, especially when little speech material is available. The use of some of the proposed measures as a reference benchmark to evaluate the intrinsic complexity of a given database under a given protocol is finally suggested as a conclusion to this work.en_US
dc.identifier.citationF. Bimbot and I. Magrin-Chagnolleau, "Second-Order Statistical Measures for Text-Independent Speaker Identification," 1995.
dc.identifier.doihttp://dx.doi.org/10.1016/0167-6393(95)00013-Een_US
dc.identifier.urihttps://hdl.handle.net/1911/19736
dc.language.isoeng
dc.subjectTemporary*
dc.subject.keywordTemporaryen_US
dc.subject.otherSignal Processing Applicationsen_US
dc.titleSecond-Order Statistical Measures for Text-Independent Speaker Identificationen_US
dc.typeConference paper
dc.type.dcmiText
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