Change search
ReferencesLink to record
Permanent link

Direct link
Bayesian learning for time-varying linear prediction of speech
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Signal Processing.
2015 (English)In: 2015 23rd European Signal Processing Conference, EUSIPCO 2015, Institute of Electrical and Electronics Engineers (IEEE), 2015, 325-329 p.Conference paper (Refereed)Text
Abstract [en]

We develop Bayesian learning algorithms for estimation of time-varying linear prediction (TVLP) coefficients of speech. Estimation of TVLP coefficients is a naturally underdeter-mined problem. We consider sparsity and subspace based approaches for dealing with the corresponding underde-termined system. Bayesian learning algorithms are developed to achieve better estimation performance. Expectation-maximization (EM) framework is employed to develop the Bayesian learning algorithms where we use a combined prior to model a driving noise (glottal signal) that has both sparse and dense statistical properties. The efficiency of the Bayesian learning algorithms is shown for synthetic signals using spectral distortion measure and formant tracking of real speech signals. © 2015 EURASIP.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2015. 325-329 p.
Keyword [en]
Bayesian learning, expectation-maximization, sparsity, Time-varying linear prediction, Algorithms, Forecasting, Maximum principle, Signal processing, Estimation performance, Expectation - maximizations, Expectation Maximization, Linear prediction, Spectral distortions, Statistical properties, Learning algorithms
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-186794DOI: 10.1109/EUSIPCO.2015.7362398ISI: 000377943800066ScopusID: 2-s2.0-84963983947ISBN: 9780992862633OAI: oai:DiVA.org:kth-186794DiVA: diva2:928538
Conference
23rd European Signal Processing Conference, EUSIPCO 2015, 31 August 2015 through 4 September 2015
Note

QC 20160516

Available from: 2016-05-16 Created: 2016-05-13 Last updated: 2016-07-15Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Casamitjana, AdriàSundin, Martin
By organisation
ACCESS Linnaeus CentreSignal Processing
Electrical Engineering, Electronic Engineering, Information Engineering

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: 32 hits
ReferencesLink to record
Permanent link

Direct link