Saz Torralba, Oscar Hain, Thomas Deena, Salil Doulaty Bashkand, Mortaza Khaliq, Bilal Ng, Wai Man Milner, Rosanna Hasan, Madina Olcoz Martinez, Julia Multimedia Tools and Applications - Experiments results for paper "Lightly supervised alignment of subtitles on multigenre broadcasts" The files in the dataset correspond to results that have been generated for the Multimedia Tools and Applications (Springer ISSN: 1380-7501 / 1573-7721) article: "Lightly supervised alignment of subtitles on multigenre broadcasts".<br> <br> The files in the zip file are of three types:<br> - .ctm, which correspond to the output of the automatic speech recognition system or lightly supervised alignment system.<br>- .rttm, which correspond to the output of the speech segmentation system.<br> - .sys, which correspond to scoring of the speech segmentation, automatic speech recognition or lightly supervised alignment system.<br> <br>The following is a description about the naming convention of the files:<br> <br>TableX-LineY-[ser|wer|f1]: This is the output and scoring results corresponding to Line Y of Table X in the article in terms of SER, WER or F1 score.<br> <br> All three file types are standard outputs that are recognised by the speech technology community and can be opened using any text editor. Multimedia Data;Lightly Supervised Alignment;Natural Language Processing;Artificial Intelligence and Image Processing;Signal Processing 2016-10-05
    https://orda.shef.ac.uk/articles/dataset/Multimedia_Tools_and_Applications_-_Experiments_results_for_paper_Lightly_supervised_alignment_of_subtitles_on_multigenre_broadcasts_/3495854
10.15131/shef.data.3495854.v1