is16-diadnn-results.tar (20.3 MB)
Interspeech 2016 - Experimental results for DNN-based clustering paper
dataset
posted on 2016-06-23, 15:04 authored by Rosanna MilnerRosanna Milner, Thomas HainThomas HainThe files in this dataset correspond to the results in the paper
"DNN-based speaker clustering for speaker diarisation" published in
Interspeech 2016. This paper proposes a new method of performing speaker
diarisation using deep neural networks (DNNs) which involves replacing
the final layer of the network and retraining in iterations. A stopping
criterion is also proposed based on using posteriors as confidences.
The files are in the format '.rttm' which is the standard format for scoring a diarisation system. There is also a summary 'results' file which displays the numbers found in the paper.
The files are in the format '.rttm' which is the standard format for scoring a diarisation system. There is also a summary 'results' file which displays the numbers found in the paper.