mlsanityData to 7 Oct 2026

How Much Does Prosody Help Turn-taking? Investigations using Voice Activity Projection Models

arXiv 2209.05161 ↗First posted 12 Sep 2022eess.AScited by 23

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Abstract (arXiv)

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. In this work, we investigate the role of prosody in turn-taking using the recently proposed Voice Activity Projection model, which incrementally models the upcoming speech activity of the interlocutors in a self-supervised manner, without relying on explicit annotation of turn-taking events, or the explicit modeling of prosodic features. Through manipulation of the speech signal, we investigate how these models implicitly utilize prosodic information. We show that these systems learn to utilize various prosodic aspects of speech both on aggregate quantitative metrics of long-form conversations and on single utterances specifically designed to depend on prosody.

Key facts. Cited by 23 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Sep 2022.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 2; 2025: 11; 2026: 7.

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  1. 2025Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamicscited by 45
  2. 2024Multilingual Turn-taking Prediction Using Voice Activity Projectioncited by 26
  3. 2025Applying General Turn-taking Models to Conversational Human-Robot Interactioncited by 13
  4. 2025Predicting Turn-Taking and Backchannel in Human-Machine Conversations Using Linguistic, Acoustic, and Visual Signalscited by 10
  5. 2024Yeah, Un, Oh: Continuous and Real-time Backchannel Prediction with Fine-tuning of Voice Activity Projectioncited by 8
  6. 2025Visual Cues Enhance Predictive Turn-Taking for Two-Party Human Interactioncited by 8
  7. 2025The Role of Prosody in Spoken Question Answeringcited by 6
  8. 2025A Noise-Robust Turn-Taking System for Real-World Dialogue Robots: A Field Experimentcited by 6
  9. 2025Prosodic Structure Beyond Lexical Content: A Study of Self-Supervised Learningcited by 4
  10. 2026Speak or Stay Silent: Context-Aware Turn-Taking in Multi-Party Dialoguecited by 4
  11. 2023Response-conditioned Turn-taking Predictioncited by 3
  12. 2023What makes a good pause? Investigating the turn-holding effects of fillerscited by 3
11 more
  1. 2025Visual Cues Support Robust Turn-taking Prediction in Noisecited by 3
  2. 20233M-TRANSFORMER: A Multi-Stage Multi-Stream Multimodal Transformer for Embodied Turn-Taking Predictioncited by 2
  3. 2025Voice Activity Projection Model with Multimodal Encoderscited by 2
  4. 2025Modeling Turn-Taking with Semantically Informed Gesturescited by 1
  5. 2026The Role of Prosodic and Lexical Cues in Turn-Taking with Self-Supervised Speech Representationscited by 1
  6. 2026MuVAP: Multimodal Multiparty Voice Activity Projection for Turn-taking Prediction in the Wildcited by 1
  7. 2025Everything Counts: The Managed Omnirelevance of Speech in Human-Voice Agent Interactioncited by 0
  8. 2026Exploring Multimodal Turn-Taking Cues in Face-to-Face Conversation using Voice Activity Projectioncited by 0
  9. 2026Audio-Visual Turn-taking Prediction in Cocktail Party Scenarioscited by 0
  10. 2026Evaluating Real-Time Voice Agents: From Component Quality to Grounded Outcomescited by 0
  11. 2026Multi-Party Backchannel Prediction: a Diagnosis, a Benchmark, and a Ceilingcited by 0