Subband analysis for robust speech recognition in the presence of car noise

Simple item page
buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage420en_US
dc.citation.spage417en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.contributor.authorYardımcı, Y.en_US
dc.contributor.authorErzin, Enginen_US
dc.coverage.spatialDetroit, MI, USA
dc.date.accessioned2016-02-08T12:01:12Z
dc.date.available2016-02-08T12:01:12Z
dc.date.issued1995-05en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionDate of Conference: 9-12 May 1995
dc.descriptionConference name: International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1995
dc.description.abstractIn this paper, a new set of speech feature representations for robust speech recognition in the presence of car noise are proposed. These parameters are based on subband analysis of the speech signal. Line Spectral Frequency (LSF) representation of the Linear Prediction (LP) analysis in subbands and cepstral coefficients derived from subband analysis (SUBCEP) are introduced, and the performances of the new feature representations are compared to mel scale cepstral coefficients (MELCEP) in the presence of car noise. Subband analysis based parameters are observed to be more robust than the commonly employed MELCEP representations.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:01:12Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1995en
dc.identifier.doi10.1109/ICASSP.1995.479610
dc.identifier.issn0736-7791
dc.identifier.urihttp://hdl.handle.net/11693/27764
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/ICASSP.1995.479610
dc.source.titleIEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1995en_US
dc.subjectAcoustic noiseen_US
dc.subjectComputer simulationen_US
dc.subjectFeature extractionen_US
dc.subjectMarkov processesen_US
dc.subjectMathematical modelsen_US
dc.subjectNumerical analysisen_US
dc.subjectPolynomialsen_US
dc.subjectSpeech analysisen_US
dc.subjectVector quantizationen_US
dc.subjectParameter estimationen_US
dc.subjectPattern recognition systemsen_US
dc.subjectPerformanceen_US
dc.subjectCepstral coefficienten_US
dc.subjectLine spectral frequencyen_US
dc.subjectLinear prediction analysisen_US
dc.subjectMel scale cepstral coefficienten_US
dc.subjectSpeech signalen_US
dc.subjectSubband analysisen_US
dc.subjectCar noiseen_US
dc.subjectHidden Markov modelen_US
dc.subjectLinear predictive codingen_US
dc.subjectMel scale cepstral coefficientsen_US
dc.subjectSpeech recognition systemen_US
dc.subjectSpeech recognitionen_US
dc.titleSubband analysis for robust speech recognition in the presence of car noiseen_US
dc.typeConference Paperen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Subband analysis for robust speech recognition in the presence of car noise.pdf
Size:
428.98 KB
Format:
Adobe Portable Document Format
Description:
Full printable version
Download

Collections

Scholarly Publications - Computer Engineering