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

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
Speaker-adaptive speech recognition using speaker diarization for improved transcription of large spoken archives
Original language description
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
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Project
<a href="/en/project/GPP103%2F11%2FP499" target="_blank" >GPP103/11/P499: Speaker Adaptation Methods in Speech Recognition Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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