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Projects / Programmes source: ARIS

Broadcast news processing system based on speech technologies

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Research activity

Code Science Field Subfield
2.06.00  Engineering sciences and technologies  Systems and cybernetics   

Code Science Field
T121  Technological sciences  Signal processing 
Keywords
broadcast news transcription, audio segmentation, audio indexing, acoustic modeling
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (9)
no. Code Name and surname Research area Role Period No. of publications
1.  11805  PhD Simon Dobrišek  Computer science and informatics  Researcher  2004 - 2007  284 
2.  22479  PhD Melita Hajdinjak  Mathematics  Researcher  2004 - 2007  126 
3.  21321  PhD Aleš Mihelič  Computer science and informatics  Junior researcher  2004 - 2007  50 
4.  09580  PhD France Mihelič  Computer science and informatics  Head  2004 - 2007  313 
5.  01938  PhD Nikola Pavešič  Systems and cybernetics  Researcher  2004 - 2007  657 
6.  21308  PhD Boštjan Vesnicer  Computer science and informatics  Researcher  2004 - 2007  68 
7.  11380  PhD Mario Žganec  Metrology  Researcher  2004 - 2007  98 
8.  12000  PhD Jerneja Žganec Gros  Computer science and informatics  Researcher  2004 - 2007  290 
9.  19236  PhD Janez Žibert  Computer science and informatics  Researcher  2004 - 2007  271 
Organisations (2)
no. Code Research organisation City Registration number No. of publications
1.  1538  University of Ljubljana, Faculty of Electrical Engineering  Ljubljana  1626965  27,762 
2.  1986  ALPINEON R & D  Ljubljana  1820931  387 
Abstract
The project aims to design and develop a system for automatic processing of Slovenian broadcast news audio recordings. The system will be based on speech technologies and it will be able to perform the following tasks: segmentation of speech recordings into homogeneous parts, text and audio data alignment (in real-time for read texts known in advance), subtitling and closed captioning of programs with restricted domain vocabularies. Within the scope of the project we further intend to set up an extensive corpus of broadcast news in the Slovenian language that will be acquired and documented according to international standards and recommendations.
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