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Adaptive noise suppression in voice communication using a neuro-fuzzy inference system

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096318" target="_blank" >RIV/61989100:27240/15:86096318 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7296288&newsearch=true&queryText=Adaptive%20noise%20suppression%20in%20voice%20communication%20using%20a%20neuro-fuzzy%20inference%20system" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7296288&newsearch=true&queryText=Adaptive%20noise%20suppression%20in%20voice%20communication%20using%20a%20neuro-fuzzy%20inference%20system</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TSP.2015.7296288" target="_blank" >10.1109/TSP.2015.7296288</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Adaptive noise suppression in voice communication using a neuro-fuzzy inference system

  • Original language description

    This paper describes the implementation of a combination of techniques of the fuzzy system and artificial intelligence in the application area of non-linear suppression of noise and interference. The structure used is called ANFIS (Adaptive Neuro Fuzzy Inference System). This system finds practical use mainly in audio telephone (mobile) communication in a noisy environment (transport, production halls, sports matches, etc.). Within the experiments carried out, the authors created, based on the ANFIS structure, a comprehensive system for the adaptive suppression of unwanted background interference that occurs in audio communication and which degrades the audio signal. The system designed has been tested on real voice signals. Noise cancellation performance of the algorithms has been compared by means of SSNR (Segmental Signal to Noise Ratio) and DTW (Dynamic Time Warping). Also processing durations of the algorithms are determined for evaluating the possibility of real time implementati

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JB - Sensors, detecting elements, measurement and regulation

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/EE2.3.30.0016" target="_blank" >EE2.3.30.0016: Opportunities for young researchers</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    TSP 2015 : 38th International Conference on Telecommunications and Signal Processing July 9-11, 2015. Prague, Czech Republic

  • ISBN

    978-1-4799-8498-5

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    382-386

  • Publisher name

    IEEE

  • Place of publication

    Vienna

  • Event location

    Praha

  • Event date

    Jul 9, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article