Phonetic Segmentation Using KALDI and Reduced Pronunciation Detection in Causal Czech Speech

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00232108" target="_blank" >RIV/68407700:21230/15:00232108 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007/978-3-319-24033-6_49" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-24033-6_49</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-24033-6_49" target="_blank" >10.1007/978-3-319-24033-6_49</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Phonetic Segmentation Using KALDI and Reduced Pronunciation Detection in Causal Czech Speech

Popis výsledku v původním jazyce

The paper describes the implementation of phonetic segmentation using the tools from KALDI toolkit. Its usage is motivated by the big development and support of topical techniques of ASR which are available in KALDI. The presented work is related to theresearch on pronunciation variability in casual Czech speech. For this purpose we use the automatic phonetic segmentation to analyze the particular phone boundaries, deletions, etc. We also present the tool for pronunciation detection. Both tools can beused for processing large databases as well as for an interactive work within the environment of Praat. Also the illustrative analysis of the segmentation accuracy and the design of new environment for phonetic segmentation in Praat are presented.

Název v anglickém jazyce

Phonetic Segmentation Using KALDI and Reduced Pronunciation Detection in Causal Czech Speech

Popis výsledku anglicky

The paper describes the implementation of phonetic segmentation using the tools from KALDI toolkit. Its usage is motivated by the big development and support of topical techniques of ASR which are available in KALDI. The presented work is related to theresearch on pronunciation variability in casual Czech speech. For this purpose we use the automatic phonetic segmentation to analyze the particular phone boundaries, deletions, etc. We also present the tool for pronunciation detection. Both tools can beused for processing large databases as well as for an interactive work within the environment of Praat. Also the illustrative analysis of the segmentation accuracy and the design of new environment for phonetic segmentation in Praat are presented.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Text, Speech, and Dialogue. 18th International Conference, TSD 2015

ISBN

978-3-319-24032-9

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

9

Strana od-do

433-441

Název nakladatele

Springer

Místo vydání

Heidelberg

Místo konání akce

Plzen

Datum konání akce

14. 9. 2015

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000365947800049