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dc.contributor.convenorSoon Hyob Kim and Dae Hee Younen_AU
dc.contributor.authorSo, Stephenen_US
dc.contributor.authorPaliwal, Kuldipen_US
dc.contributor.editorSoon Hyob Kim and Dae Hee Younen_US
dc.date.accessioned2017-05-03T13:01:01Z
dc.date.available2017-05-03T13:01:01Z
dc.date.issued2004en_US
dc.date.modified2009-09-21T05:51:33Z
dc.identifier.urihttp://hdl.handle.net/10072/2124
dc.description.abstractIn this paper, we investigate the use of a switched split vector quantiser (SSVQ) for coding linear predictive coding (LPC) parameters. The SSVQ is applied to quantise the LPC parameters in terms of line spectral frequencies from the TIMIT database and its performance is compared with the split vector quantiser. Experimental results show that the SSVQ provides a better trade-off between bit-rate and distortion performance than the split VQ. In addition, the SSVQ has a lower computational (search) complexity than the split VQ, though this is attained at the expense of an increase in memory requirements. In order to achieve a spectral distortion of 1 dB, the three-part SSVQ with an 8 directional switch requires 23 bits/frame, 4.41 kflops/frame of computations and 8272 floats of memory, while the corresponding values for a traditional three-part split VQ are 25 bits/frame, 13.3 kflops/frame and 3328 floats, respectively.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherSunjin Printing Co.en_US
dc.publisher.placeKoreaen_US
dc.publisher.urihttp://www.isca-speech.org/archive/interspeech_2004/i04_2641.htmlen_US
dc.relation.ispartof0en_AU
dc.relation.ispartofconferencename8th International Conference on Spoken Language Processingen_US
dc.relation.ispartofconferencetitleInterspeech 2004 (ICSLP)en_US
dc.relation.ispartofdatefrom2004-10-04en_US
dc.relation.ispartofdateto2004-10-08en_US
dc.relation.ispartoflocationJeju Island, Koreaen_US
dc.subject.fieldofresearchcode280206en_US
dc.titleEfficient vector quantisation of line spectral frequencies using the switched split vector quantiseren_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.date.issued2004
gro.hasfulltextNo Full Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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