Automating live and batch subtitling of multimedia contents for several European languages
| Autor: | Nicola Piccinini, Arantza del Pozo, João Paulo Neto, Tiago Luís, Matteo Raffaelli, Carlo Aliprandi, Carlos Mendes, Aitor Álvarez, Haritz Arzelus, Sérgio Paulo |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Vocabulary
Multimedia Computer Networks and Communications Computer science Process (engineering) media_common.quotation_subject 020207 software engineering 02 engineering and technology computer.software_genre World Wide Web Hardware and Architecture 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing Quality (business) Transcription (software) computer Software media_common |
| Zdroj: | Multimedia Tools and Applications. 75:10823-10853 |
| ISSN: | 1573-7721 1380-7501 |
| Popis: | The subtitling demand of multimedia content has grown quickly over the last years, especially after the adoption of the new European audiovisual legislation, which forces to make multimedia content accessible to all. As a result, TV channels have been moved to produce subtitles for a high percentage of their broadcast content. Consequently, the market has been seeking subtitling alternatives more productive than the traditional manual process. The large effort dedicated by the research community to the development of Large Vocabulary Continuous Speech Recognition (LVCSR) over the last decade has resulted in significant improvements on multimedia transcription, becoming the most powerful technology for automatic intralingual subtitling. This article contains a detailed description of the live and batch automatic subtitling applications developed by the SAVAS consortium for several European languages based on proprietary LVCSR technology specifically tailored to the subtitling needs, together with results of their quality evaluation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink