A process for segmenting 2-speaker telephone conversations by speaker with no prior speaker models is described and evaluated. The process consists of an initial segmentation using acoustic change and pause detection, segment clustering, and iterative modeling of segment clusters and resegmentation. The technique has been evaluated on 6, approximately 3 min long, customer care conversations. Th...

A process for segmenting 2-speaker telephone conversations by speaker with no prior speaker models is described and evaluated. The process consists of an initial segmentation using acoustic change and pause detection, segment clustering, and iterative modeling of segment clusters and resegmentation. The technique has been evaluated on 6, approximately 3 min long, customer care conversations. Th...

Recent developments in machine learning applications are deeply concerned with the poor interpretability of most these techniques. To gain some insights process designing data-based models it is common to graphically represent algorithm’s results, either their final or intermediate stage. Specially challenging task plotting multiclass classification results as they involve categorical variables...