Sparse Signal Modeling In a Scalable CELP Coder

Przemysław Dymarski , Rafał Romaniuk


This work presents a series of sparse signal modeling algorithms implemented in a variable rate CELP coder in order to compare their performances at a reasonable computational load. Multipulse excitation (MPE), Multi-Pulse Maximum Likelihood Quantization (MP-MLQ), Algebraic CELP (ACELP) and hybrid excitation schemes are analyzed under a common framework. New approaches are proposed, based on cyclic and parallel use of fast greedy algorithms. These algorithms yield a statistically significant reduction of signal approximation error at a controllable computational complexity. Main results were confirmed by comparing MOS values obtained with the PESQ algorithm
Author Przemysław Dymarski (FEIT / IT)
Przemysław Dymarski,,
- The Institute of Telecommunications
, Rafał Romaniuk (FEIT / IT)
Rafał Romaniuk,,
- The Institute of Telecommunications
Book Ghogho Mounir, Zoubir Abdelhak (eds.): Proceedings of 21st European Signal Processing Conference, 2013, Maroko, Eurasip, ISBN 978-0-9928626-0-2, [978-1-4799-3687-8], 625 p.
Keywords in Englishspeech coding, CELP, scalable coding, sparse approximation, MP-MLQ, ACELP
ProjectThe Develpment of Digital Communicatios. Project leader: Lubacz Józef, , Phone: 22 234 65 31, start date 04-05-2012, planned end date 31-03-2013, end date 31-12-2013, IT/2012/statut, Completed
WEiTI Działalność statutowa
Languageen angielski
eusipco13paper.pdf 1.19 MB
Score (nominal)15
Score sourceconferenceIndex
ScoreMinisterial score = 10.0, 23-03-2020, BookChapterMatConfByIndicator
Ministerial score (2013-2016) = 15.0, 23-03-2020, BookChapterMatConfByIndicator
Publication indicators WoS Citations = 0; GS Citations = 10.0
Citation count*10 (2020-08-29)
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