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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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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
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Number of pages of the result
1
Pages from-to
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Number of pages of the book
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Publisher name
x
Place of publication
X
UT code for WoS chapter
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