Study on Incorporating Tone into Speech Recognition of Vietnamese

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F15%3A%230003410" target="_blank" >RIV/46747885:24220/15:#0003410 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ECMSM.2015.7208688" target="_blank" >http://dx.doi.org/10.1109/ECMSM.2015.7208688</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ECMSM.2015.7208688" target="_blank" >10.1109/ECMSM.2015.7208688</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Study on Incorporating Tone into Speech Recognition of Vietnamese

Popis výsledku v původním jazyce

Vietnamese is a syllable-based tonal language where the tone used in syllable pronunciation carries important information about the meaning. In this paper, we investigate several approaches how to incorporate the tone into an acoustic model. We propose 3basic strategies: a) a phoneme-based, b) a vowel-based, and c) a rhyme-based one. Each can be modified so that we obtain 15 different schemes that are described and compared in experiments performed within the framework of large-vocabulary continuous speech recognition of Vietnamese. We show that the phoneme-based context dependent model performs best, particularly when information about the tone is linked to the syllable end. On the test set, made of 85 minutes of mostly broadcast speech, we achieve 74% syllable accuracy rate. The accuracy is further improved to 78% when the pronunciation lexicon and the language model takes into account also 40,000 most frequent syllable pairs.

Název v anglickém jazyce

Study on Incorporating Tone into Speech Recognition of Vietnamese

Popis výsledku anglicky

Vietnamese is a syllable-based tonal language where the tone used in syllable pronunciation carries important information about the meaning. In this paper, we investigate several approaches how to incorporate the tone into an acoustic model. We propose 3basic strategies: a) a phoneme-based, b) a vowel-based, and c) a rhyme-based one. Each can be modified so that we obtain 15 different schemes that are described and compared in experiments performed within the framework of large-vocabulary continuous speech recognition of Vietnamese. We show that the phoneme-based context dependent model performs best, particularly when information about the tone is linked to the syllable end. On the test set, made of 85 minutes of mostly broadcast speech, we achieve 74% syllable accuracy rate. The accuracy is further improved to 78% when the pronunciation lexicon and the language model takes into account also 40,000 most frequent syllable pairs.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

2015 IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics

ISBN

978-1-4799-6972-2

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

42-47

Název nakladatele

IEEE

Místo vydání

Česká Republika

Místo konání akce

Česká Republika, Liberec

Datum konání akce

1. 1. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000363814500013