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Speech Segmentation into Phonemes by Wavelet Transform

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F00%3A43500038" target="_blank" >RIV/00216305:26220/00:43500038 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Speech Segmentation into Phonemes by Wavelet Transform

  • Original language description

    Speech signal consists of phonemes in which the signal has a quasistationary character. The boundaries of phonemes are currently detected by observing such attributes as signal energy, short-time spectrum, etc. We can use a time-spectral analysis as a method of determining the attributes, e.g. multiscale wavelet analysis. Then we can determine the boundaries of phonemes by observing the changes in the individual scales and by comparing their positions.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2000

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 23rd International Conference TELECOMMUNICATIONS AND SIGNAL PROCESSING TSP-2000

  • ISBN

    80-7204-161-4

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    FEI VUT Brno

  • Place of publication

    Brno

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article