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Automatic Speaker Recognition Toolkit

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F10%3A00504267" target="_blank" >RIV/49777513:23520/10:00504267 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic Speaker Recognition Toolkit

  • Original language description

    RecSpe is a toolkit for automatic speaker recognition. It proposes the following main functionality: speech recording; speech parametrization (MFCC, PLPC, LPREFC, LPCEPSTRA and Discrete Wavelet Transform algorithms available); speaker classification (training and testing procedures; some different classifiers such as GMM, MLP, etc.); speaker segmentation (if more speakers are speaking). RecSpe is based on the Qt Plug-in system so its functionality can be easily extended.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/2C06009" target="_blank" >2C06009: Complex knowledge base tools for natural language communication with the semantic web</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Internal product ID

    RecSpe

  • Technical parameters

    Král P. ZČU Plzeň 377632454

  • Economical parameters

    Metody rozpoznávání pracují s různou přesností v různých podmínkách. Nastavení parametrů pomocí RecSpe ušetří čas při tvorbě dané aplikace.

  • Owner IČO

    49777513

  • Owner name

    Západočeská univerzita v Plzni, KIV