Unit-Selection Speech Synthesis Adjustments for Audiobook-Based Voices

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929881" target="_blank" >RIV/49777513:23520/16:43929881 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007/978-3-319-45510-5_38" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-45510-5_38</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-45510-5_38" target="_blank" >10.1007/978-3-319-45510-5_38</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Unit-Selection Speech Synthesis Adjustments for Audiobook-Based Voices

Popis výsledku v původním jazyce

This paper presents easy-to-use modifications to unit-selection speech-synthesis algorithm with voices built from audiobooks. Audiobooks are a very good source of large and high quality audio data for speech synthesis; however, they usually do not meet basic requirements for standard unit-selection synthesis: "neutral" speech properties with no expressive or spontaneous expressions, stable prosodic patterns, careful pronunciation, and consistent voice style during recording. However, if these conditions are taken into consideration, few modifications can be made to adjust the general unit-selection algorithm to make it more robust for synthesis from such audiobook data. Listening test shows that these adjustments increased perceived speech quality and acceptability against a baseline TTS system. Modifications presented here can also allow to exploit audio data variability to control pitch and tempo of synthesized speech.

Název v anglickém jazyce

Unit-Selection Speech Synthesis Adjustments for Audiobook-Based Voices

Popis výsledku anglicky

This paper presents easy-to-use modifications to unit-selection speech-synthesis algorithm with voices built from audiobooks. Audiobooks are a very good source of large and high quality audio data for speech synthesis; however, they usually do not meet basic requirements for standard unit-selection synthesis: "neutral" speech properties with no expressive or spontaneous expressions, stable prosodic patterns, careful pronunciation, and consistent voice style during recording. However, if these conditions are taken into consideration, few modifications can be made to adjust the general unit-selection algorithm to make it more robust for synthesis from such audiobook data. Listening test shows that these adjustments increased perceived speech quality and acceptability against a baseline TTS system. Modifications presented here can also allow to exploit audio data variability to control pitch and tempo of synthesized speech.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

<a href="/cs/project/TA01011264" target="_blank" >TA01011264: Eliminace jazykových bariér handicapovaných diváků České televize II</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Text, Speech, and Dialogue 19th International Conference, TSD 2016, Brno , Czech Republic, September 12-16, 2016, Proceedings

ISBN

978-3-319-45509-9

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

8

Strana od-do

335-342

Název nakladatele

Springer

Místo vydání

Heidelberg

Místo konání akce

Brno, Česká republika

Datum konání akce

12. 9. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000389707400038