dc.contributor.author |
Özaydın, Selma
|
|
dc.date.accessioned |
2023-12-12T10:04:33Z |
|
dc.date.available |
2023-12-12T10:04:33Z |
|
dc.date.issued |
2016 |
|
dc.identifier.citation |
Özaydın, Selma (2016). "Residual Lsf Vector Quantization Using Arma Prediction", International Journal of Applied Mathematics, Electronics and Computers, Vol. 4, pp. 79-81. |
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dc.identifier.issn |
2147-8228 |
|
dc.identifier.uri |
http://hdl.handle.net/20.500.12416/6772 |
|
dc.description.abstract |
The residual LSF vector quantization yields bit rate reduction in the vocoders. In this work, a residual LSF vector quantization
obtained from Auto Regressive Moving Average (ARMA) prediction is proposed for designing codebooks at very low bit rates. This
residual quantization method is applied to multi stage vector quantization method and codebooks are designed. For each codebook, the
effectiveness and quality are investigated by calculating the spectral distortion and outliers. The proposed quantization method reduced
the distortion without any additional complexity. |
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dc.language.iso |
eng |
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dc.rights |
info:eu-repo/semantics/openAccess |
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dc.subject |
Very Low Bit Rate |
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dc.subject |
Speech Processing |
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dc.subject |
Residual Vector Quantization |
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dc.subject |
Formant Tracking |
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dc.subject |
ARMA Prediction |
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dc.title |
Residual Lsf Vector Quantization Using Arma Prediction |
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dc.type |
article |
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dc.relation.journal |
International Journal of Applied Mathematics, Electronics and Computers |
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dc.contributor.authorID |
253019 |
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dc.identifier.volume |
4 |
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dc.identifier.startpage |
79 |
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dc.identifier.endpage |
81 |
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dc.contributor.department |
Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü |
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