Speak While You Think: Streaming Speech Synthesis During Text Generation
On the map: LLM reasoning → Audio-language model reasoning
Abstract (arXiv)
Large Language Models (LLMs) demonstrate impressive capabilities, yet interaction with these models is mostly facilitated through text. Using Text-To-Speech to synthesize LLM outputs typically results in notable latency, which is impractical for fluent voice conversations. We propose LLM2Speech, an architecture to synthesize speech while text is being generated by an LLM which yields significant latency reduction. LLM2Speech mimics the predictions of a non-streaming teacher model while limiting the exposure to future context in order to enable streaming. It exploits the hidden embeddings of the LLM, a by-product of the text generation that contains informative semantic context. Experimental results show that LLM2Speech maintains the teacher's quality while reducing the latency to enable natural conversations.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Placed in Audio-language model reasoning, one of 17 directions in LLM reasoning. Builds on 17 of its 26 references that are in the map. First posted on arXiv 20 Sep 2023.
Builds on
17 of 26 references.
References · 17
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5 more
- 2015Highway Long Short-Term Memory RNNs for Distant Speech Recognitioncited by 17
- 2019Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Frameworkcited by 15
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Built on by
Citing papers per year: 2024: 3; 2025: 3; 2026: 2.
8 papers.
- 2024CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Modelscited by 282
- 2024LLaMA-Omni: Seamless Speech Interaction with Large Language Modelscited by 169
- 2025SpeakStream: Streaming Text-to-Speech with Interleaved Datacited by 8
- 2025VoXtream: Full-Stream Text-to-Speech with Extremely Low Latencycited by 5
- 2024Exploring the Benefits of Tokenization of Discrete Acoustic Unitscited by 4
- 2025SimulMEGA: MoE Routers are Advanced Policy Makers for Simultaneous Speech Translationcited by 2
- 2026Prosodic Boundary-Aware Streaming Generation for LLM-Based TTS with Streaming Text Inputcited by 1
- 2026Evaluating Real-Time Voice Agents: From Component Quality to Grounded Outcomescited by 0
- 2026Evaluating Real-Time Voice Agents: From Component Quality to Grounded Outcomes25 Sep 2026
- 2026Prosodic Boundary-Aware Streaming Generation for LLM-Based TTS with Streaming Text Input6 Mar 2026
- 2025VoXtream: Full-Stream Text-to-Speech with Extremely Low Latency19 Sep 2025
- 2025SimulMEGA: MoE Routers are Advanced Policy Makers for Simultaneous Speech Translation1 Sep 2025
- 2025SpeakStream: Streaming Text-to-Speech with Interleaved Data25 May 2025
- 2024CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models13 Dec 2024
- 2024LLaMA-Omni: Seamless Speech Interaction with Large Language Models10 Sep 2024
- 2024Exploring the Benefits of Tokenization of Discrete Acoustic Units8 Jun 2024
Similar, not cited
Close in wording, no citation either way
- 2024Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming
- 2025LLMVoX: Autoregressive Streaming Text-to-Speech Model for Any LLM
- 2024Get Large Language Models Ready to Speak: A Late-fusion Approach for Speech Generation
- 2026The Evolving Bottleneck in Speech Generation: Interface Co-design and Staged Alignment from CosyVoice to Qwen-Audio-3.0-TTS ↗
- 2026GEPARD - Generative, Prosody-aware, Autoregressive text-to-speech model for Realtime Dialogue
- 2023Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue
- 2025Stream RAG: Instant and Accurate Spoken Dialogue Systems with Streaming Tool Usage
- 2026VoiceChat-TTS: A Low-Latency Continuous Speech Synthesis Model for Interactive Agents