Speech coding based on sparse linear prediction

Daniele Giacobello, Mads Græsbøll Christensen, Manohar Murthi, Søren Holdt Jensen, Marc Moonen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

This paper describes a novel speech coding concept created by introducing sparsity constraints in a linear prediction scheme both on the residual and on the prediction vector. The residual is efficiently encoded using well known multi-pulse excitation procedures due to its sparsity. A robust statistical method for the joint estimation of the short-term and long-term predictors is also provided by exploiting the sparse characteristics of the predictor. Thus, the main purpose of this work is showing that better statistical modeling in the context of speech analysis creates an output that offers better coding properties. The proposed estimation method leads to a convex optimization problem, which can be solved efficiently using interior-point methods. Its simplicity makes it an attractive alternative to common speech coders based on minimum variance linear prediction.

Original languageEnglish (US)
Title of host publicationEuropean Signal Processing Conference
Pages2524-2528
Number of pages5
StatePublished - 2009
Event17th European Signal Processing Conference, EUSIPCO 2009 - Glasgow, United Kingdom
Duration: Aug 24 2009Aug 28 2009

Other

Other17th European Signal Processing Conference, EUSIPCO 2009
CountryUnited Kingdom
CityGlasgow
Period8/24/098/28/09

Fingerprint

Speech coding
Speech analysis
Convex optimization
Statistical methods

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Giacobello, D., Christensen, M. G., Murthi, M., Jensen, S. H., & Moonen, M. (2009). Speech coding based on sparse linear prediction. In European Signal Processing Conference (pp. 2524-2528)

Speech coding based on sparse linear prediction. / Giacobello, Daniele; Christensen, Mads Græsbøll; Murthi, Manohar; Jensen, Søren Holdt; Moonen, Marc.

European Signal Processing Conference. 2009. p. 2524-2528.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Giacobello, D, Christensen, MG, Murthi, M, Jensen, SH & Moonen, M 2009, Speech coding based on sparse linear prediction. in European Signal Processing Conference. pp. 2524-2528, 17th European Signal Processing Conference, EUSIPCO 2009, Glasgow, United Kingdom, 8/24/09.
Giacobello D, Christensen MG, Murthi M, Jensen SH, Moonen M. Speech coding based on sparse linear prediction. In European Signal Processing Conference. 2009. p. 2524-2528
Giacobello, Daniele ; Christensen, Mads Græsbøll ; Murthi, Manohar ; Jensen, Søren Holdt ; Moonen, Marc. / Speech coding based on sparse linear prediction. European Signal Processing Conference. 2009. pp. 2524-2528
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