Transform-domain Wiener filter for speech periodicity enhancement
2012 (English)In: Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on, IEEE , 2012, 4577-4580 p.Conference paper (Refereed)
In this paper, we present a transform-domain Wiener filtering approach for enhancing speech periodicity. The enhancement is performed on the linear prediction residual signal. Two sequential lapped frequency transforms are applied to the residual in a pitch-synchronous manner. The residual signal is effectively represented by two separate sets of transform coefficients that correspond to the periodic and aperiodic components, respectively. A Wiener filter operating on the transform coefficients is developed to restore periodicity and reduce noise. Different filter parameters are designed for the transform coefficients of the periodic and aperiodic components. A template-driven method is used to estimate the filter parameters for the periodic component. For the aperiodic components, the filter parameters are computed based on a local SNR for effective noise reduction. Experimental results confirm that the harmonic structure of the signal can be effectively restored with the proposed approach.
Place, publisher, year, edition, pages
IEEE , 2012. 4577-4580 p.
, IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings, ISSN 1520-6149
sparse representation, Speech periodicity enhancement, transform domain, Wiener filtering
Other Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-104954DOI: 10.1109/ICASSP.2012.6288937ScopusID: 2-s2.0-84867615881ISBN: 978-146730046-9OAI: oai:DiVA.org:kth-104954DiVA: diva2:570397
2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012, 25 March 2012 through 30 March 2012, Kyoto
FunderICT - The Next Generation
QC 201211192012-11-192012-11-142013-04-15Bibliographically approved