Wiener Filters for the Reconditioning of Old Speech Recordings Under Uncertainty

dc.contributor.authorTeodorescu, Horia-Nicolai
dc.contributor.editorPinker, Jiří
dc.date.accessioned2019-10-17T12:54:02Z
dc.date.available2019-10-17T12:54:02Z
dc.date.issued2018
dc.description.abstract-translatedThe article revisits the design of optimal Wiener filters under uncertainty, specifically under limited information and imprecision of the available data on the noise and signal spectra, as in case of old speech recordings. The derivation of the filters is based on a few reasonable assumptions regarding the noise measurement and on the variability of the noise. The filters use several properties of the speech signal in the choice of the filter structure and optimization procedure.en
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citation2018 International Conference on Applied Electronics: Pilsen, 11th – 12th September 2018, Czech Republic, 145-148.en
dc.identifier.isbn978–80–261–0721–7
dc.identifier.issn1803–7232
dc.identifier.urihttp://hdl.handle.net/11025/35491
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plznics
dc.rights.accessopenAccessen
dc.subjectoptimalitacs
dc.subjectnepřesnostcs
dc.subjectomezené informacecs
dc.subjectnahrávky starých proslovůcs
dc.subject.translatedoptimalityen
dc.subject.translatedimprecisionen
dc.subject.translatedlimited informationen
dc.subject.translatedold speech recordingsen
dc.titleWiener Filters for the Reconditioning of Old Speech Recordings Under Uncertaintyen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

Files

Original bundle
Showing 1 - 1 out of 1 results
No Thumbnail Available
Name:
Teodorescu.pdf
Size:
450.95 KB
Format:
Adobe Portable Document Format
Description:
Plný text
License bundle
Showing 1 - 1 out of 1 results
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: