activity
20202024
most citedTurnGPT: a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog

35 citations · 44 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CL2024★ 1 cited

Multilingual Turn-taking Prediction Using Voice Activity Projection

Koji Inoue, Bing'er Jiang, Erik Ekstedt +2

This paper investigates the application of voice activity projection (VAP), a predictive turn-taking model for spoken dialogue, on multilingual data, encompassing English, Mandarin…

cs.CL2024★ 2 cited

Real-time and Continuous Turn-taking Prediction Using Voice Activity Projection

Koji Inoue, Bing'er Jiang, Erik Ekstedt +2

A demonstration of a real-time and continuous turn-taking prediction system is presented. The system is based on a voice activity projection (VAP) model, which directly maps dialog…

cs.CL2023★ 2 cited

What makes a good pause? Investigating the turn-holding effects of fillers

Bing'er Jiang, Erik Ekstedt, Gabriel Skantze

Filled pauses (or fillers), such as "uh" and "um", are frequent in spontaneous speech and can serve as a turn-holding cue for the listener, indicating that the current speaker is n…

cs.CL2023★ 1 cited

Response-conditioned Turn-taking Prediction

Bing'er Jiang, Erik Ekstedt, Gabriel Skantze

Previous approaches to turn-taking and response generation in conversational systems have treated it as a two-stage process: First, the end of a turn is detected (based on conversa…

cs.CL2020★ 35 cited

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…