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Information Mining from Speech Signal

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F09%3APU80935" target="_blank" >RIV/00216305:26220/09:PU80935 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Information Mining from Speech Signal

  • Original language description

    The high information redundancy of a speech signal is associated with such factors as the loudness of the speech, environmental condition, and emotional, physical as well as psychological state of the speaker. Many of these characteristics are also subjectively audible, but much of the phonetically irrelevant information is few distinguishable by untrained humans. However, some specific information hidden in speech signal can be detected using advanced signal processing methods. Successful speech signalprocessing and effective information mining require knowledge and expertise in a wide range of disciplines such as digital signal processing, physics (acoustics), pattern recognition, information theory, linguistics, computer science, physiology, etc.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Recent Advances in Signal Processing

  • ISBN

    978-953-307-002-5

  • Number of pages of the result

    23

  • Pages from-to

  • Number of pages of the book

    544

  • Publisher name

    In-Tech Publishing

  • Place of publication

    Wien

  • UT code for WoS chapter