Comparison of word-based and class - based language models for speech recognition of the czech weather forecast

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F00%3A00057381" target="_blank" >RIV/49777513:23520/00:00057381 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Comparison of word-based and class - based language models for speech recognition of the czech weather forecast

Original language description

This paper presents a comparison of word-based and class-based language models used in the system for speech recognition of weather forecast broadcasted by the Czech radio. Two different methods were used for clustering words into classes. First one is based on maximizing the average mutual information, second one uses somewhat extended part-of-speech tags.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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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)

Publication year

2000

Confidentiality

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

Article name in the collection

Comparison of word-based and class - based language models for speech recognition of the czech weather forecast

ISBN

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ISSN

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e-ISSN

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Number of pages

5

Pages from-to

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Publisher name

CMP Media Inc.

Place of publication

Dallas

Event location

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Event date

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Type of event by nationality

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UT code for WoS article

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