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Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F14%3APU109629" target="_blank" >RIV/00216305:26210/14:PU109629 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Human-Machine Interface for Mobile Robot Based on an Enhancement Speech Recognition

  • Original language description

    The paper deals with human-machine interface for mobile robot based on enhancement speech recognition system. The speech recognition system can be based on both the various commonly used commercial or open sources. Instead of developing a complete solution from scratch, the third-party system was used. Despite the fact, such solution shows useful results, there are some limitations of uses this kind of speech recognition engine for communication with autonomous robot (e.g. low success rate in recognition of specific words, wrong interpretation in noisy environment, etc.). We present a solution in which the well known Bayesian approach is used for enhance the results and there are described experimental result obtained on autonomous mobile robot in realenvironment.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    MENDEL 2014, 20th International Conference on Soft Computing.

  • ISBN

    978-80-214-4984-8

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    249-252

  • Publisher name

    Brno University of Technology, Faculty of Mechanical Engineering, Institute of Automation and Computer Science

  • Place of publication

    Brno, Czech Republic

  • Event location

    Brno University of Technology

  • Event date

    Jun 25, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article