Line spectral frequency representation of subbands for speech recognition

dc.citation.epage119en_US
dc.citation.issueNumber1en_US
dc.citation.spage117en_US
dc.citation.volumeNumber44en_US
dc.contributor.authorErzin, E.en_US
dc.contributor.authorÇetin, A.E.en_US
dc.date.accessioned2016-02-08T10:52:12Z
dc.date.available2016-02-08T10:52:12Z
dc.date.issued1995en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractIn this paper, a new set of speech feature parameters is constructed from subband analysis based Line Spectral Frequencies (LSFs). The speech signal is divided into several subbands and the resulting subsignals are represented by LSFs. The performance of the new speech feature parameters, SUBLSFs, is compared with the widely used Mel Scale Cepstral Coefficients (MELCEPs). SUBLSFs are observed to be more robust than the MELCEPs in the presence of car noise. © 1995.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:52:12Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1995en
dc.identifier.doi10.1016/0165-1684(95)00038-Fen_US
dc.identifier.issn1651684
dc.identifier.urihttp://hdl.handle.net/11693/25907
dc.language.isoEnglishen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/0165-1684(95)00038-Fen_US
dc.source.titleSignal Processingen_US
dc.subjectLine spectral frequencyen_US
dc.subjectSpeech recognitionen_US
dc.subjectFeature extractionen_US
dc.subjectParameter estimationen_US
dc.subjectRobustness (control systems)en_US
dc.subjectSignal processingen_US
dc.subjectSpectrum analysisen_US
dc.subjectSpurious signal noiseen_US
dc.subjectLine spectral frequencies (LSF)en_US
dc.subjectSubband analysisen_US
dc.subjectSpeech recognitionen_US
dc.titleLine spectral frequency representation of subbands for speech recognitionen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Line spectral frequency representation of subbands for speech recognition.pdf
Size:
247.9 KB
Format:
Adobe Portable Document Format
Description:
Full printable version