Time-varying singular value decomposition : an application on speech-like signals

L.F.M. Bosch, ten

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    9 Downloads (Pure)


    A combination of two methods for signal parameter extraction is presented. One method involves singular wave decomposition, while the other deals with time-varying predictive coding. The combination makes it possible to find a prediction vector as well as its first derivative from a short speech segment. Time-varying algorithms will be of interest in the study of signals whose correlation changes smoothly with time, such as voiced speech sounds in the vicinity of plosive bursts. Their applicability for signal regions with fast spectral changes is demonstrated
    Original languageEnglish
    Title of host publicationProceedings IEEE International Conference on Acoustics, Speech, and Signal Prossing (ICASSP) 91, Toronto, Canada, May 14-17, 1991
    Publication statusPublished - 1991

    Publication series



    Dive into the research topics of 'Time-varying singular value decomposition : an application on speech-like signals'. Together they form a unique fingerprint.

    Cite this