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Automatic Neume Transcription of Medieval Music Manuscripts using CNN/LSTM-Networks and the segmentation-free CTC-Algorithm

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Figure

Figure 1. An original line (first image) and its transcription equivalent (second line) rendered in awider space (b), gappedmodern notation
Table 1. Overview of the dataset statistics. The bigger Nevers dataset is split manually into three partsthat share similarities in layout or handwriting
Figure 2. Example pages and a zoomed line of the used datasets. One page for each of the three partsof the Nevers dataset, one of Assisi, and a double page of Cambrai is shown
Figure 3. The image shows the pipeline of the line extraction: First the complete page (left) is dewarpedbased on the staff lines (right), then each single line is cut out (bottom)
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