All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Blind technique for automatic speech segmentation based on SMMT method

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F02%3A00073541" target="_blank" >RIV/49777513:23520/02:00073541 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Blind technique for automatic speech segmentation based on SMMT method

  • Original language description

    This paper presents an alternative approach to blind segmentation of speech signal based on newly designed Spectral Moment Movement Tracking /SMMT/ method. SMMT-based speech segmentation needs no phonetic modelling, no apriori information about incomingsignal, nor training of any kind. The method comes aout of few theoretical considerations described later in this paper, and thorough observation, modelling and analysis of speech signals. The method offers stable performance, efficiency, and simplicityof executive algorithms.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2002

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Blind technique for automatic speech segmentation based on SMMT method

  • ISBN

    9616303406

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    16

  • Publisher name

    Jožef Stefan Institute

  • Place of publication

    Strunjan

  • Event location

    Strunjan

  • Event date

    Jan 1, 2002

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article