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Found 9 papers, 4 papers with code
Projection of Turn Completion in Incremental Spoken Dialogue Systems
The ability to take turns in a fluent way (i. e., without long response delays or frequent interruptions) is a fundamental aspect of any spoken dialog system.
Multilingual Turn-taking Prediction Using Voice Activity Projection
The results show that a monolingual VAP model trained on one language does not make good predictions when applied to other languages.
Real-time and Continuous Turn-taking Prediction Using Voice Activity Projection
A demonstration of a real-time and continuous turn-taking prediction system is presented.
Automatic Evaluation of Turn-taking Cues in Conversational Speech Synthesis
Turn-taking is a fundamental aspect of human communication where speakers convey their intention to either hold, or yield, their turn through prosodic cues.
Response-conditioned Turn-taking Prediction
Treating the turn-prediction and response-ranking as a one-stage process, our findings suggest that our model can be used as an incremental response ranker, which can be applied in various settings.
What makes a good pause? Investigating the turn-holding effects of fillers
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 not done yet.
How Much Does Prosody Help Turn-taking? Investigations using Voice Activity Projection Models
Turn-taking is a fundamental aspect of human communication and can be described as the ability to take turns, project upcoming turn shifts, and supply backchannels at appropriate locations throughout a conversation.
Voice Activity Projection: Self-supervised Learning of Turn-taking Events
The modeling of turn-taking in dialog can be viewed as the modeling of the dynamics of voice activity of the interlocutors.
TurnGPT: a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog
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 a limited way.
