Encoding spectral parameters using cache codebook

dc.contributor.author Guerchi, Driss
dc.contributor.author Rekik, Siwar
dc.date.accessioned 2020-10-01T12:59:13Z
dc.date.available 2020-10-01T12:59:13Z
dc.date.copyright 2012
dc.date.issued 2012
dc.description This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in Communications in Computer and Information Science (2012), available online at: https://doi.org/10.1007/978-3-642-30507-8_24 en_US
dc.description.abstract A new efficient approach to quantize the spectral line frequencies (LSF) in a coder is proposed. The use of the full search algorithm in the spectral parameters quantization causes high complexity and large hardware storage. Attempts to reduce the complexity have been performed by lowering the size of the LSF codebook. This option leads to a sub-optimal solution; the number of LSF vectors to be tested affects the performance of the speech coder. Cache codebook (CCB) technique enhances the search of the optimal quantized spectral information. In this technique the size of the main codebook is kept unchanged while the number of closest match searches is reduced. Unlike the classical quantizer design, the CCB method involves one main codebook embedding four disjoint sub-codebooks. The content of the CCB at any time is an exact reproduction of one of the four sub-codebooks. The search for the best match to an input vector is limited to the LSF vectors of the CCB. Some criteria are used to accept or reject this closest match. The CCB is updated whenever the decision is in favor of rejection. The cache codebook was successfully embedded in a CELP coder to enhance the quantization of the spectral information. The comparison simulation results show that the Codebook Caching approach yields to comparable objective and subjective performance to that of the optimal full-search technique when using the same training and testing database. © Springer-Verlag Berlin Heidelberg 2012. en_US
dc.description.sponsorship BCS The Chartered Institute for IT,Springer,IEEE - UAE Computer Section en_US
dc.identifier.citation Guerchi, D., & Rekik, S. (2012). Encoding spectral parameters using cache codebook. Communications in Computer and Information Science (Vol. 293 PART 1). https://doi.org/10.1007/978-3-642-30507-8_24 en_US
dc.identifier.isbn 978-364230506-1
dc.identifier.issn 18650929
dc.identifier.uri http://dx.doi.org/10.1007/978-3-642-30507-8_24
dc.identifier.uri http://hdl.handle.net/20.500.12519/244
dc.language.iso en en_US
dc.publisher Springer Nature Switzerland AG en_US
dc.relation Authors Affiliations : Guerchi, D., Canadian University of Dubai, Sheikh Zayed Road, Behind Shangrila Hotel, P.O.BOX 117781, Dubai, United Arab Emirates; Rekik, S., Canadian University of Dubai, Sheikh Zayed Road, Behind Shangrila Hotel, P.O.BOX 117781, Dubai, United Arab Emirates
dc.relation.ispartofseries Communications in Computer and Information Science;293 PART 1
dc.relation.uri https://s100.copyright.com/CustomerAdmin/PLF.jsp?ref=3a7f149d-2d4f-4b7c-b73e-d539743d0c0b
dc.rights License to reuse the abstract has been secured from Springer Nature and Copyright Clearance Center.
dc.rights.holder Copyright : © Springer-Verlag Berlin Heidelberg 2012
dc.rights.license License Number: 5241281331836 License date: Feb 03, 2022
dc.subject Cache codebook en_US
dc.subject CELP coding en_US
dc.subject Full search algorithm en_US
dc.subject Lpc analysis en_US
dc.subject Spectral information en_US
dc.subject Spectral line frequencies en_US
dc.subject Subjective performance en_US
dc.subject Training and testing en_US
dc.subject Computer science en_US
dc.subject Optimization en_US
dc.title Encoding spectral parameters using cache codebook en_US
dc.type Conference Paper en_US
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