Our unsupervised dynamic speaker model differs from previous work in that we build speaker embeddings as a weighted combination of latent modes with weights computed based on the utterance.
second, we use the learned dynamic speaker embed- dings in two representative tasks in dialogs: predicting user topic decisions in socialbot dialogs, and classifying dialog acts in human-human dialogs.