Akustický a jazykový model spontánní slovenštiny

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F06%3A00000040" target="_blank" >RIV/49777513:23520/06:00000040 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/49777513:23520/06:00000006

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Slovak Spontaneaous Speech – Acoustic&Language Models (MALACH)

Popis výsledku v původním jazyce

The Visual History Foundation collected recently about 52 thousand testimonies of Holocaust survivors pronounced in 32 languages. There are approx. 580 Slovak testimonies with a total length of 1 300 hours. It is not feasible to transcribe all those testimonies maually due to the enornous time and money demands. Thus the transcription is performed using the automatic speech recognition system &#8211; data forthe system development were acquired from the Slovak Malach Speech Corpus. The basic AM unit isa triphone represented by a 5-state HMM, where every state is modeled as a GMM with 16 mixtures. The total number of states was reduced to 7902 using a phonetic clustering tree. The language model is designed as a combination of 2 bigram models.

Název v anglickém jazyce

Slovak Spontaneaous Speech – Acoustic&Language Models (MALACH)

Popis výsledku anglicky

The Visual History Foundation collected recently about 52 thousand testimonies of Holocaust survivors pronounced in 32 languages. There are approx. 580 Slovak testimonies with a total length of 1 300 hours. It is not feasible to transcribe all those testimonies maually due to the enornous time and money demands. Thus the transcription is performed using the automatic speech recognition system &#8211; data forthe system development were acquired from the Slovak Malach Speech Corpus. The basic AM unit isa triphone represented by a 5-state HMM, where every state is modeled as a GMM with 16 mixtures. The total number of states was reduced to 7902 using a phonetic clustering tree. The language model is designed as a combination of 2 bigram models.

Druh

X - Nezařazeno

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

2006

Kód důvěrnosti údajů

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