TurnGPT: a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog. - Erik Ekstedt; Gabriel Skantze (EMNLP (Findings), 2020)

Projection of Turn Completion in Incremental Spoken Dialogue Systems. - Erik Ekstedt; Gabriel Skantze (SIGDIAL, 2021)

Voice Activity Projection: Self-supervised Learning of Turn-taking Events. - Erik Ekstedt; Gabriel Skantze (INTERSPEECH, 2022)

How Much Does Prosody Help Turn-taking? Investigations using Voice Activity Projection Models. - Erik Ekstedt; Gabriel Skantze (SIGDIAL, 2022)

Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association. - Smaranda Muresan; Vivian Chen; Casey Kennington; David Vandyke; Nina Dethlefs; Koji Inoue; Erik Ekstedt; Stefan Ultes (ALTA, 2023)

Response-conditioned Turn-taking Prediction. - Bing'er Jiang; Erik Ekstedt; Gabriel Skantze (ACL (Findings), 2023)

Show & Tell: Voice Activity Projection and Turn-taking. - Erik Ekstedt; Gabriel Skantze (INTERSPEECH, 2023)

Automatic Evaluation of Turn-taking Cues in Conversational Speech Synthesis. - Erik Ekstedt; Siyang Wang; Éva Székely; Joakim Gustafson; Gabriel Skantze (INTERSPEECH, 2023)

What makes a good pause? Investigating the turn-holding effects of fillers. - Bing'er Jiang; Erik Ekstedt; Gabriel Skantze (CoRR, 2023)

Predictive Modeling of Turn-Taking in Spoken Dialogue: Computational Approaches for the Analysis of Turn-Taking in Humans and Spoken Dialogue Systems - Erik Ekstedt (2023)

Multilingual Turn-taking Prediction Using Voice Activity Projection. - Koji Inoue; Bing'er Jiang; Erik Ekstedt; Tatsuya Kawahara; Gabriel Skantze (LREC/COLING, 2024)

Real-time and Continuous Turn-taking Prediction Using Voice Activity Projection. - Koji Inoue; Bing'er Jiang; Erik Ekstedt; Tatsuya Kawahara; Gabriel Skantze (CoRR, 2024)