Akustický a jazykový model spontánní ruštiny

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F05%3A00000058" target="_blank" >RIV/49777513:23520/05:00000058 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/49777513:23520/05:00000008

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Russian 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. 7,050 Russian testimonies with a total length of 16,000 hours. It is not feasible to transcribe all thosetestimonies 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 Russian Malach Speech Corpus. The basic AM unit is a 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 6969 using a phonetic clustering tree. The language model is designed as a combination of 2 bigram models.

Název v anglickém jazyce

Russian 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. 7,050 Russian testimonies with a total length of 16,000 hours. It is not feasible to transcribe all thosetestimonies 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 Russian Malach Speech Corpus. The basic AM unit is a 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 6969 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

2005

Kód důvěrnosti údajů

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