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Recognition of radio broadcasted speech in a task with low perplexity and sparse training data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F99%3A00041882" target="_blank" >RIV/49777513:23520/99:00041882 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Recognition of radio broadcasted speech in a task with low perplexity and sparse training data

  • Original language description

    This paper describes an automatic recognition of a weather forecast transmitted by the Czech radio via the experimental speech recognition system being developed at the University of West Bohemia with support of the Johns Hopkins University. The experimental recognition system is designed as a speaker independent and is based on the HMM with mixture Gaussian continuous densities. A set of Czech phonological rules is used to provide phonetic transcription. Triphones and Czech phonetic decision trees areused to model a phonetic context. The system incorporates an n-gram language model. Two kinds of n-gram language model together with various smoothing techniques were tested to overcome very sparse trainingThe results of recognition experiments with twokinds of language models as well as with various language and acoustic model weights are presented in the paper.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    1999

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Recognition of radio broadcasted speech in a task with low perplexity and sparse training data

  • ISBN

  • Number of pages of the result

    1

  • Pages from-to

  • Number of pages of the book

  • Publisher name

    x

  • Place of publication

    X

  • UT code for WoS chapter