Exact(58)
In contrast to a segmentation task, the speaker ID or language recognition has well-delimited segments (usually in separate files) and, therefore, FA is applied over the whole file.
In the segmentation task, this means that we have to specify the number of segments and this specification is not trivial.
The error distribution for those segments, displayed in Figure 3, shows the degree of difficulty of the audio segmentation task.
It is then possible to use a classification algorithm from scikit-learn to label pixels (a segmentation task) or to classify whole images or objects that have already been segmented.
Table 4 shows the baseline results for this segmentation task.
The evaluation results displayed the difficulty of this segmentation task.
In practice, features suitable for the segmentation task are image and application dependent.
This approach also simplifies the segmentation task and focuses on the structuring task.
Historically, there have been no features specifically designed for the audio segmentation task.
Similar(2)
Hence, automatically segmenting objects by GrabCut (without manual curve setting) can be achieved in co-segmentation task.
Other methods have also been used for co-segmentation task.
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