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dc.contributor.authorNein, HWen_US
dc.contributor.authorLin, CTen_US
dc.date.accessioned2014-12-08T15:44:13Z-
dc.date.available2014-12-08T15:44:13Z-
dc.date.issued2001-02-01en_US
dc.identifier.issn1063-6676en_US
dc.identifier.urihttp://dx.doi.org/10.1109/89.902275en_US
dc.identifier.urihttp://hdl.handle.net/11536/29857-
dc.description.abstractThis paper presents an error shaping technique for line spectrum frequency (LSF) vector quantization, The error shaping technique based on the weighted logarithm spectral distortion (WLSD) measure can be used for shaping the spectral distortion distribution of quantization error into any different curve depending on what kind of weighting function is used. However, the high computational complexity of the WLSD measure deters this error shaping technique from practical use. To solve this problem, we approximate the WLSD measure by the quadratically weighted measure or the weighted mean squared error (WMSE) measure and propose an optimal error shaping technique of LSF vector quantization. In this proposed error shaping technique, the optimal WMSE weights (i.e., the optimal weights of LSF parameters) are determined based on the theoretical analysis of the WLSD measure. Three experiments are performed to check the performance of the proposed error shaping technique. One experiment is set up by incorporating human perception into the LSF quantization and another is set up by emphasizing the human-sensitivity frequency band in lower frequency bandwidth 0-3 kHz. In the third experiment, we apply the proposed error shaping technique to the LSF quantization of a CELP coder to test how it affects the overall speech quality in an actual speech coding algorithm.en_US
dc.language.isoen_USen_US
dc.subjecthuman perceptionen_US
dc.subjectquadratically weighted measureen_US
dc.subjectsensitivity matrixen_US
dc.subjectweighted logarithm spectral distortion (WLSD)en_US
dc.subjectweighted mean squared error (WMSE)en_US
dc.titleIncorporating error shaping technique into LSF vector quantizationen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/89.902275en_US
dc.identifier.journalIEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSINGen_US
dc.citation.volume9en_US
dc.citation.issue2en_US
dc.citation.spage73en_US
dc.citation.epage86en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000167012000001-
dc.citation.woscount3-
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