Speaker-adaptive speech recognition using speaker diarization for improved transcription of large spoken archives

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F13%3A%230002801" target="_blank" >RIV/46747885:24220/13:#0002801 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.specom.2013.06.017" target="_blank" >http://dx.doi.org/10.1016/j.specom.2013.06.017</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.specom.2013.06.017" target="_blank" >10.1016/j.specom.2013.06.017</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Speaker-adaptive speech recognition using speaker diarization for improved transcription of large spoken archives

Popis výsledku v původním jazyce

This paper deals with speaker-adaptive speech recognition for large spoken archives. The goal is to improve the recognition accuracy of an automatic speech recognition (ASR) system that is being deployed for transcription of a large archive of Czech radio. This archive represents a significant part of Czech cultural heritage, as it contains recordings covering 90 years of broadcasting. A large portion of these documents (100,000 h) is to be transcribed and made public for browsing. To improve the transcription results, an efficient speaker-adaptive scheme is proposed. The scheme is based on integration of speaker diarization and adaptation methods and is designed to achieve a low Real-Time Factor (RTF) of the entire adaptation process, because the archive's size is enormous. It thus employs just two decoding passes, where the first one is carried out using the lexicon with a reduced number of items. Moreover, the transcripts from the first pass serve not only for adaptation, but also a

Název v anglickém jazyce

Speaker-adaptive speech recognition using speaker diarization for improved transcription of large spoken archives

Popis výsledku anglicky

This paper deals with speaker-adaptive speech recognition for large spoken archives. The goal is to improve the recognition accuracy of an automatic speech recognition (ASR) system that is being deployed for transcription of a large archive of Czech radio. This archive represents a significant part of Czech cultural heritage, as it contains recordings covering 90 years of broadcasting. A large portion of these documents (100,000 h) is to be transcribed and made public for browsing. To improve the transcription results, an efficient speaker-adaptive scheme is proposed. The scheme is based on integration of speaker diarization and adaptation methods and is designed to achieve a low Real-Time Factor (RTF) of the entire adaptation process, because the archive's size is enormous. It thus employs just two decoding passes, where the first one is carried out using the lexicon with a reduced number of items. Moreover, the transcripts from the first pass serve not only for adaptation, but also a

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/GPP103%2F11%2FP499" target="_blank" >GPP103/11/P499: Metody adaptace na mluvčího v systémech rozpoznávání řeči</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

SPEECH COMMUNICATION

ISSN

0167-6393

e-ISSN

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Svazek periodika

55

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

14

Strana od-do

1033-1046

Kód UT WoS článku

000324227500009

EID výsledku v databázi Scopus

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