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Application of optimal settings of the LMS adaptive filter for speech signal processing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86075949" target="_blank" >RIV/61989100:27240/10:86075949 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Application of optimal settings of the LMS adaptive filter for speech signal processing

  • Original language description

    This paper describes a proposition of the method for optimal adjustment parameters of the adaptive filter with LMS algorithm in the practical application of suppression of additive noise in a speech signal for voice communication with the control system.By the proposed method, the optimal values of parameters of adaptive filter are calculated with guarantees the stability and convergence of the LMS algorithm. The DTW criterion is used for the quality assessment of speech signal processing obtained fromoutput of adaptive filter with LMS algorithm. In the experimental section is described the way of verification of the proposed method on the structure of the adaptive filter with LMS algorithm and on the structure of the adaptive filter with LMS algorithm in application of suppressing noise from speech signal by simulations in MATLAB software and implementation on DSK TMS320C6713.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    International Multiconference on Computer Science and Information Technology, IMCSIT 2010

  • ISBN

    978-83-60810-27-9

  • ISSN

    1896-7094

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    767-774

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Wisla

  • Event location

    Wisla, Polsko

  • Event date

    Oct 18, 2010

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article