Coverage of Spontaneous Conversational Speech from Nijmegen Corpus of Casual Czech by General ASR Language Models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00185972" target="_blank" >RIV/68407700:21230/11:00185972 - isvavai.cz</a>

Výsledek na webu

<a href="http://mirjamernestus.ruhosting.nl/Ernestus/Workshop2011.php" target="_blank" >http://mirjamernestus.ruhosting.nl/Ernestus/Workshop2011.php</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Coverage of Spontaneous Conversational Speech from Nijmegen Corpus of Casual Czech by General ASR Language Models

Popis výsledku v původním jazyce

The Large Vocabulary Continuous Speech Recognition (LVCSR) as one of the frequent applications of speech technology is being applied nowadays in growing number of applications in everyday human life. Consequently, also the need of spontaneous speech recognition arises, however, such speech has strongly different character in comparison to non-spontaneous speech. Then such specific phenomena are not supposed to be covered by standard general Language Model (LM). In this contribution we will analyze Nijmegen Corpus of Causal Czech (NCCCz) from the point of view of several LMs which are publicly available. We will analyze the rate of Out-Of-Vocabulary (OOV) words, the rate of word fractions, repetitions, or repeated starts, the perplexity computed at textlevel above transcription of NCCCz, LVCSR performance above recordings using above mentioned LMs.

Název v anglickém jazyce

Coverage of Spontaneous Conversational Speech from Nijmegen Corpus of Casual Czech by General ASR Language Models

Popis výsledku anglicky

The Large Vocabulary Continuous Speech Recognition (LVCSR) as one of the frequent applications of speech technology is being applied nowadays in growing number of applications in everyday human life. Consequently, also the need of spontaneous speech recognition arises, however, such speech has strongly different character in comparison to non-spontaneous speech. Then such specific phenomena are not supposed to be covered by standard general Language Model (LM). In this contribution we will analyze Nijmegen Corpus of Causal Czech (NCCCz) from the point of view of several LMs which are publicly available. We will analyze the rate of Out-Of-Vocabulary (OOV) words, the rate of word fractions, repetitions, or repeated starts, the perplexity computed at textlevel above transcription of NCCCz, LVCSR performance above recordings using above mentioned LMs.

Druh

O - Ostatní výsledky

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F08%2F0707" target="_blank" >GA102/08/0707: Rozpoznávání mluvené řeči v reálných podmínkách</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

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