Spoken Dialogue System Design in 3 Weeks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F12%3A43916099" target="_blank" >RIV/49777513:23520/12:43916099 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007%2F978-3-642-32790-2_76" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-32790-2_76</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-32790-2_76" target="_blank" >10.1007/978-3-642-32790-2_76</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Spoken Dialogue System Design in 3 Weeks

Popis výsledku v původním jazyce

This article describes knowledge-based spoken dialogue system design from scratch. It covers all stages which were performed during the period of three weeks: definition of semantic goals and entities, data collection and recording of sample dialogues, data annotation, parser and grammars design, dialogue manager design and testing. The work was focused mainly on rapid development of such a dialogue system. The final implementation was written in dynamically generated VoiceXML. The large vocabulary continuous speech recognition system was used and the language understanding module was implemented using non-recursive probabilistic context free grammars which were converted to finite states transducers. The design and implementation has been verified ona railway information service task with a real large-scale database. The paper describes an innovative combination of data, expert knowledge and state-of-the-art methods which allow fast spoken dialogue system design.

Název v anglickém jazyce

Spoken Dialogue System Design in 3 Weeks

Popis výsledku anglicky

This article describes knowledge-based spoken dialogue system design from scratch. It covers all stages which were performed during the period of three weeks: definition of semantic goals and entities, data collection and recording of sample dialogues, data annotation, parser and grammars design, dialogue manager design and testing. The work was focused mainly on rapid development of such a dialogue system. The final implementation was written in dynamically generated VoiceXML. The large vocabulary continuous speech recognition system was used and the language understanding module was implemented using non-recursive probabilistic context free grammars which were converted to finite states transducers. The design and implementation has been verified ona railway information service task with a real large-scale database. The paper describes an innovative combination of data, expert knowledge and state-of-the-art methods which allow fast spoken dialogue system design.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

Lecture Notes in Artificial Intelligence

ISSN

0302-9743

e-ISSN

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Svazek periodika

7499

Číslo periodika v rámci svazku

Neuveden

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

8

Strana od-do

624-631

Kód UT WoS článku

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EID výsledku v databázi Scopus

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