End-to-End Speaker Diarization for an Unknown Number of Speakerswith Encoder-Decoder Based Attractors
Table 6: DERs (%) on CALLHOME of a flexible number of speakers.
['Method', '#Spk 2', '#Spk 3', '#Spk 4', '#Spk 5', '#Spk 6', '#Spk All']
We also evaluated our method with real conversations using the CALLHOME. In this case, the model was finetuned again using the CALLHOME training set and evaluated on the test set. Our method achieved a 15.29\char37 DER, which outperformed the clustering-based method. However, it did not perform well when the number of speakers was higher than four. This is because the CALLHOME contains only ten recordings that include more than four speakers.