Impact of Irregular Pronunciation on Phonetic Segmentation of Nijmegen Corpus of Casual Czech

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00219473" target="_blank" >RIV/68407700:21230/14:00219473 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007/978-3-319-10816-2_60" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-10816-2_60</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-10816-2_60" target="_blank" >10.1007/978-3-319-10816-2_60</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Impact of Irregular Pronunciation on Phonetic Segmentation of Nijmegen Corpus of Casual Czech

Popis výsledku v původním jazyce

This paper describes the pilot study of phonetic segmentation applied to Nijmegen Corpus of Casual Czech (NCCCz). This corpus contains informal speech of strong spontaneous nature which influences the character of produced speech at various levels. Thiswork is the part of wider research related to the analysis of pronunciation reduction in such informal speech. We present the analysis of the accuracy of phonetic segmentation when canonical or reduced pronunciation is used. The achieved accuracy of realized phonetic segmentation provides information about general accuracy of proper acoustic modelling which is supposed to be applied in spontaneous speech recognition. As a byproduct of presented spontaneous speech segmentation, this paper also describesthe created lexicon with canonical pronunciations of words in NCCCz, a tool supporting pronunciation check of lexicon items, and finally also a minidatabase of selected utterances from NCCCz manually labelled on phonetic level suitable fo

Název v anglickém jazyce

Impact of Irregular Pronunciation on Phonetic Segmentation of Nijmegen Corpus of Casual Czech

Popis výsledku anglicky

This paper describes the pilot study of phonetic segmentation applied to Nijmegen Corpus of Casual Czech (NCCCz). This corpus contains informal speech of strong spontaneous nature which influences the character of produced speech at various levels. Thiswork is the part of wider research related to the analysis of pronunciation reduction in such informal speech. We present the analysis of the accuracy of phonetic segmentation when canonical or reduced pronunciation is used. The achieved accuracy of realized phonetic segmentation provides information about general accuracy of proper acoustic modelling which is supposed to be applied in spontaneous speech recognition. As a byproduct of presented spontaneous speech segmentation, this paper also describesthe created lexicon with canonical pronunciations of words in NCCCz, a tool supporting pronunciation check of lexicon items, and finally also a minidatabase of selected utterances from NCCCz manually labelled on phonetic level suitable fo

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Text, Speech, and Dialogue. 17th International Conference, TSD 2014

ISBN

978-3-319-10815-5

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

9

Strana od-do

499-507

Název nakladatele

Springer

Místo vydání

Heidelberg

Místo konání akce

Brno

Datum konání akce

8. 9. 2014

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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