Teager energy based feature parameters for robust 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.epage276en_US
dc.citation.spage273en_US
dc.citation.volumeNumber1en_US
dc.contributor.authorJabloun, F.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.date.accessioned2016-02-08T10:42:21Z
dc.date.available2016-02-08T10:42:21Z
dc.date.issued1999en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractIn this paper, a new set of speech feature parameters based on multirate signal processing and the Teager Energy Operator is developed. The speech signal is first divided into nonuniform subbands in mel-scale using a multirate filter-bank, then the Teager energies of the subsignals are estimated. Finally, the feature vector is constructed by log-compression and inverse DCT computation. The new feature parameters have a robust speech recognition performance in car engine noise which is low pass in nature.en_US
dc.identifier.doi10.1109/ICASSP.1999.758115en_US
dc.identifier.issn1520-6149
dc.identifier.urihttp://hdl.handle.net/11693/25289
dc.language.isoEnglishen_US
dc.publisherIEEE, Piscataway, NJ, United Statesen_US
dc.relation.isversionofhttps://doi.org/10.1109/ICASSP.1999.758115en_US
dc.source.titleICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsen_US
dc.subjectAcoustic noiseen_US
dc.subjectAutomobile enginesen_US
dc.subjectCosine transformsen_US
dc.subjectData compressionen_US
dc.subjectMathematical operatorsen_US
dc.subjectParameter estimationen_US
dc.subjectSignal filtering and predictionen_US
dc.subjectVectorsen_US
dc.subjectDiscrete cosine transformsen_US
dc.subjectTeager energy operatoren_US
dc.subjectSpeech recognitionen_US
dc.titleTeager energy based feature parameters for robust speech recognition in car noiseen_US
dc.typeArticleen_US

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