2 citations · 2 across the 3 of their papers we have counts for
6 papers
How "open" are the conversations with open-domain chatbots? A proposal for Speech Event based evaluation
A. Seza Doğruöz, Gabriel Skantze
Open-domain chatbots are supposed to converse freely with humans without being restricted to a topic, task or domain. However, the boundaries and/or contents of open-domain convers…
DBkWik++ -- Multi Source Matching of Knowledge Graphs
Sven Hertling, Heiko Paulheim
Large knowledge graphs like DBpedia and YAGO are always based on the same source, i.e., Wikipedia. But there are more wikis that contain information about long-tail entities such a…
Voice Activity Projection: Self-supervised Learning of Turn-taking Events
Erik Ekstedt, Gabriel Skantze
The modeling of turn-taking in dialog can be viewed as the modeling of the dynamics of voice activity of the interlocutors. We extend prior work and define the predictive task of V…
TurnGPT: a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog
Erik Ekstedt, Gabriel Skantze
Syntactic and pragmatic completeness is known to be important for turn-taking prediction, but so far machine learning models of turn-taking have used such linguistic information in…
Multimodal Continuous Turn-Taking Prediction Using Multiscale RNNs
Matthew Roddy, Gabriel Skantze, Naomi Harte
In human conversational interactions, turn-taking exchanges can be coordinated using cues from multiple modalities. To design spoken dialog systems that can conduct fluid interacti…
Investigating Speech Features for Continuous Turn-Taking Prediction Using LSTMs
Matthew Roddy, Gabriel Skantze, Naomi Harte
For spoken dialog systems to conduct fluid conversational interactions with users, the systems must be sensitive to turn-taking cues produced by a user. Models should be designed s…