Automatic Online Subtitling of the Czech Parliament Meetings
| Autor: | Luděk Müller, Jakub Kanis, Josef Psutka, Jan Hoidekr, Aleš Pražák |
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| Rok vydání: | 2006 |
| Předmět: |
Closed captioning
Vocabulary business.industry Computer science Parliament media_common.quotation_subject Bigram Speech recognition Acoustic model computer.software_genre Text normalization Artificial intelligence Language model business computer Natural language processing Natural language media_common |
| Zdroj: | Text, Speech and Dialogue ISBN: 9783540390909 TSD |
| DOI: | 10.1007/11846406_63 |
| Popis: | This paper describes a LVCSR system for automatic online subtitling (closed captioning) of TV transmissions of the Czech Parliament meetings The recognition system is based on Hidden Markov Models, lexical trees and bigram language model The acoustic model is trained on 40 hours of parliament speech and the language model on more than 10M tokens of parliament speech trancriptions The first part of the article is focused on text normalization and class-based language model preparation The second part describes the recognition network and its decoding with respect to real-time operation demands using up to 100k vocabulary The third part outlines the application framework allowing generation and displaying of subtitles for any audio/video source Finally, experimental results obtained on parliament speeches with recognition accuracy varying from 80 to 95 % (according to the discussed topic) are reported and discussed. |
| Databáze: | OpenAIRE |
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