Representation of fine structure of speech signals using time-frequency zeros

DOI

Abstract

In this paper, we propose a novel time-frequency analysis method for speech, which consists of 1) subband decomposition by the holomorphic filterbank proposed by us, and 2) detection of time-frequency zeros. By theoretical analysis and experiments, we show that 1) voiced speech generates a stable two-dimensional (2-D) maps of zeros which are different vowels by vowels, 2) it represents pitch structure, formant structure, and glottal excitation instance, which are important for analyzing voiced speech in frequency and time domain.

Journal

Details 詳細情報について

  • CRID
    1390001205587886720
  • NII Article ID
    130005441136
  • DOI
    10.11499/sicep.2004.0_23_4
  • Text Lang
    en
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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