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N-gram language Models in JLASER Neural Network Speech Recognizer

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F10%3A00503932" target="_blank" >RIV/49777513:23520/10:00503932 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    N-gram language Models in JLASER Neural Network Speech Recognizer

  • Original language description

    In our recent research we have discovered that neural networks can be more efficient in pseech reognition than the state of the art approach based on Gaussian mixtures. This statement is valid only for small corpora, however, many applications do not require a huge recognition vocabulary. In this article we describe our speech reognizer - called JLASER - based on neural networks. We also show the effect of n-gram language models applied to the JLASER recognizer.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • 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)<br>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

    Applied Electronics

  • ISBN

    978-80-7043-865-7

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    167-170

  • Publisher name

    Západočeská univerzita

  • Place of publication

    Plzeň

  • Event location

    Plzeň

  • Event date

    Sep 8, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article