Change search
ReferencesLink to record
Permanent link

Direct link
Compressive sensing for sparsely excited speech signals
KTH, School of Electrical Engineering (EES), Sound and Image Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
2009 (English)In: 2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2009, 4125-4128 p.Conference paper (Refereed)
Abstract [en]

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived from the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

Place, publisher, year, edition, pages
2009. 4125-4128 p.
, International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
Keyword [en]
sampling, compressed sensing, matching pursuit, sparse signal reconstruction
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-36106DOI: 10.1109/ICASSP.2009.4960536ISI: 000268919202106ScopusID: 2-s2.0-70349205576OAI: diva2:430389
IEEE International Conference on Acoustics, Speech and Signal Processing Taipei, TAIWAN, APR 19-24, 2009
QC 20110708Available from: 2011-07-08 Created: 2011-07-08 Last updated: 2011-07-08Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Kleijn, W. Bastiaan
By organisation
Sound and Image ProcessingACCESS Linnaeus Centre
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 18 hits
ReferencesLink to record
Permanent link

Direct link