Teager energy based feature parameters for speech recognition in car noise

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage261en_US
dc.citation.issueNumber10en_US
dc.citation.spage259en_US
dc.citation.volumeNumber6en_US
dc.contributor.authorJabloun, F.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.contributor.authorErzin, E.en_US
dc.date.accessioned2016-02-08T10:40:42Z
dc.date.available2016-02-08T10:40:42Z
dc.date.issued1999-10en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractIn this letter, a new set of speech feature parameters based on multirate signal processing and the Teager energy operator is introduced. The speech signal is first divided into nonuniform subbands in mel-scale using a multirate filterbank, then the Teager energies of the subsignals are estimated. Finally, the feature vector is constructed by log-compression and inverse discrete cosine transform (DCT) computation. The new feature parameters have robust speech recognition performance in the presence of car engine noise.en_US
dc.identifier.doi10.1109/97.789604en_US
dc.identifier.issn1070-9908
dc.identifier.urihttp://hdl.handle.net/11693/25195
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/97.789604en_US
dc.source.titleIEEE Signal Processing Lettersen_US
dc.subjectAcoustic noiseen_US
dc.subjectCosine transformsen_US
dc.subjectDigital filtersen_US
dc.subjectFeature extractionen_US
dc.subjectSpeech analysisen_US
dc.subjectVectorsen_US
dc.subjectDiscrete cosine transform (DCT)en_US
dc.subjectMultirate signal processingen_US
dc.subjectTeager energy operatoren_US
dc.subjectSpeech recognitionen_US
dc.titleTeager energy based feature parameters for speech recognition in car noiseen_US
dc.typeArticleen_US

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