---
格式版本: 2
标题: "X2-Turn: Frame-Synchronous Dual-Head Modeling for Joint Streaming ASR and Turn State Prediction"
原文链接: "https://arxiv.org/abs/2608.10878"
发布日期: "2026-08-11"
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入库时间: "2026-08-12T03:22:55.982Z"
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去重键: "https://arxiv.org/abs/2608.10878"
---

## Computer Science > Computation and Language

## Title:X2-Turn: Frame-Synchronous Dual-Head Modeling for Joint Streaming ASR and Turn State Prediction

Authors:[Kaiqi Fu](https://arxiv.org/search/cs?searchtype=author&query=Fu,+K), [Rime Wen](https://arxiv.org/search/cs?searchtype=author&query=Wen,+R), [Altman Lin](https://arxiv.org/search/cs?searchtype=author&query=Lin,+A), [Shawn Qin](https://arxiv.org/search/cs?searchtype=author&query=Qin,+S), [Roy Gan](https://arxiv.org/search/cs?searchtype=author&query=Gan,+R), [Hao Wang](https://arxiv.org/search/cs?searchtype=author&query=Wang,+H), [Qian Wang](https://arxiv.org/search/cs?searchtype=author&query=Wang,+Q)

[View PDF](https://arxiv.org/pdf/2608.10878) [HTML (experimental)](https://arxiv.org/html/2608.10878v1)

> Abstract:Accurate and responsive turn-taking is essential for spoken dialogue systems, which must distinguish in real time between user interruptions, backchannels that should be ignored, and the completion of an utterance. Prior modular approaches typically optimize turn state prediction at the utterance or fixed-chunk level, creating a mismatch with the continuous turn state estimate, and often depend on an auxiliary ASR model, which limits responsiveness and increases overall system complexity. Therefore, we present X2-Turn, a frame-synchronous turn state prediction method via delayed-stream modeling. Specifically, building on the pretrained Voxtral Realtime model, we introduce a frame-synchronous turn state head that operates in parallel with the ASR head on shared streaming representations, jointly predicting ASR tokens and fine-grained turn states at the frame level. We evaluate our method on the bilingual Chinese-English Easy-Turn test sets, and the results demonstrate its effectiveness in achieving accurate turn-taking detection while maintaining low latency.

| Subjects: | Computation and Language (cs.CL); Audio and Speech Processing (eess.AS) |
| --- | --- |
| Cite as: | [arXiv:2608.10878](https://arxiv.org/abs/2608.10878) \[cs.CL\] |
|  | (or [arXiv:2608.10878v1](https://arxiv.org/abs/2608.10878v1) \[cs.CL\] for this version) |
|  | [https://doi.org/10.48550/arXiv.2608.10878](https://doi.org/10.48550/arXiv.2608.10878) |

## Submission history

From: Kaiqi Fu \[[view email](https://arxiv.org/show-email/cfab95ae/2608.10878)\]  
**\[v1\]** Tue, 11 Aug 2026 12:54:52 UTC (1,280 KB)

[Which authors of this paper are endorsers?](https://arxiv.org/auth/show-endorsers/2608.10878) | Disable MathJax ([What is MathJax?](https://info.arxiv.org/help/mathjax.html))
