Initial Experiments on Automatic Correction of Prosodic Annotation of Large Speech Corpora

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43922838" target="_blank" >RIV/49777513:23520/14:43922838 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-10816-2_58" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-10816-2_58</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-10816-2_58" target="_blank" >10.1007/978-3-319-10816-2_58</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Initial Experiments on Automatic Correction of Prosodic Annotation of Large Speech Corpora

Popis výsledku v původním jazyce

Most modern speech synthesis systems utilize large speech corpora to learn new voices. These speech corpora usually contain several hours of speech spoken by talented speakers who are able to record such an amount of speech data in a sufficient quality.An appropriate phonetic and prosodic annotation of the recorded utterances is necessary for a high quality of synthesized speech. For many languages, the pitch shape within the last prosodic word of a phrase is characteristic for particular types of sentences and phrase structure of compound/complex sentences. However in the real data, this formal convention can be breached and a different pitch shape than expected can be present. This can be a source of prosody inconsistency in synthesized speech. Thisarticle presents some experiments on automatic detection of prosodic mismatch in recorded utterances. A simple classifier based on GMM was proposed for this task. Experiments were performed on 5 large speech corpora. The classification r

Název v anglickém jazyce

Initial Experiments on Automatic Correction of Prosodic Annotation of Large Speech Corpora

Popis výsledku anglicky

Most modern speech synthesis systems utilize large speech corpora to learn new voices. These speech corpora usually contain several hours of speech spoken by talented speakers who are able to record such an amount of speech data in a sufficient quality.An appropriate phonetic and prosodic annotation of the recorded utterances is necessary for a high quality of synthesized speech. For many languages, the pitch shape within the last prosodic word of a phrase is characteristic for particular types of sentences and phrase structure of compound/complex sentences. However in the real data, this formal convention can be breached and a different pitch shape than expected can be present. This can be a source of prosody inconsistency in synthesized speech. Thisarticle presents some experiments on automatic detection of prosodic mismatch in recorded utterances. A simple classifier based on GMM was proposed for this task. Experiments were performed on 5 large speech corpora. The classification r

Druh

D - Stať ve sborníku

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)

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

ISBN

978-3-319-10815-5

ISSN

0302-9743

e-ISSN

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Počet stran výsledku

8

Strana od-do

481-488

Název nakladatele

Springer International Publishing

Místo vydání

Heidelberg

Místo konání akce

Brno

Datum konání akce

8. 9. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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