Controlling Backchannels in Streamable Full-duplex Models
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Abstract (arXiv)
Backchannels, brief acknowledgements like "uh-huh" produced while the other party may still be talking, are central to natural conversation, but full-duplex spoken dialogue models rarely model them explicitly. We introduce a lightweight backchannel head that predicts, from a full-duplex model's own hidden states, when a backchannel should begin. Once this probability crosses a tunable threshold, a backchannel is force-decoded. Attached to both a 7B (PersonaPlex) and a 1B (F-Actor) model, it generalizes across scale. Probing confirms the hidden states anticipate real human timing, and generation evaluation shows more frequent, better-timed backchannels. Human raters judge the resulting backchannels on par with real ones.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 21 of its 25 references that are in the map. First posted on arXiv 24 Sep 2026.
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References · 21
- 2024The Llama 3 Herd of Modelscited by 14,192
- 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
- 2020ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verificationcited by 606
- 2024Moshi: a speech-text foundation model for real-time dialoguecited by 536
- 2025Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilitiescited by 94
- 2026PersonaPlex: Voice and Role Control for Full Duplex Conversational Speech Modelscited by 57
- 2025Canary-1B-v2 & Parakeet-TDT-0.6B-v3: Efficient and High-Performance Models for Multilingual ASR and ASTcited by 51
- 2025SALM-Duplex: Efficient and Direct Duplex Modeling for Speech-to-Speech Language Modelcited by 32
- 2025NanoCodec: Towards High-Quality Ultra Fast Speech LLM Inferencecited by 14
- 2017Yeah, Right, Uh-Huh: A Deep Learning Backchannel Predictorcited by 12
- 2026Pearmut: Human Evaluation of Translation Made Trivialcited by 11
- 2026Multi-Faceted Interactivity Alignment in Full-Duplex Speech Modelscited by 9
9 more
- 2024Yeah, Un, Oh: Continuous and Real-time Backchannel Prediction with Fine-tuning of Voice Activity Projectioncited by 8
- 2025Sidon: Fast and Robust Open-Source Multilingual Speech Restoration for Large-scale Dataset Cleansingcited by 8
- 2026TurnBench: A Multi-Domain Benchmark for Turn-Taking Dynamics in Spoken Dialoguecited by 4
- 2026VoXtream2: Full-stream TTS with dynamic speaking rate controlcited by 3
- 2026DualTurn: Learning Turn-Taking from Dual-Channel Generative Speech Pretrainingcited by 2
- 2026Endpoint Anticipation for Low-Latency Spoken Dialoguecited by 2
- 2025Multilingual and Continuous Backchannel Prediction: A Cross-lingual Studycited by 1
- 2026Aligning Backchannel and Dialogue Context Representations via Contrastive LLM Fine-Tuningcited by 1
- 2026Synchronization and Turn-Taking in Full-Duplex Speech Dialogue Modelscited by 1
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