Qualcomm's Speculative Tool Execution Cuts On-Device Voice Agent Latency to 4.60s
Qualcomm-AI-Research · hf · 2026-10-07
Qualcomm AI Research presents speculative tool execution for on-device cascaded voice agents, eliminating the latency of serial ASR → LLM → tool pipelines.
Method
- A Predictor module anticipates tool calls from partial ASR hypotheses and executes them speculatively while speech is still being received
- Cached outputs are injected into the LLM prompt; a rule-based validation mechanism handles user self-corrections by injecting only valid results
- The LLM retains the ability to call tools directly, bounding worst-case latency by the serial baseline
Results (fully implemented Android assistant): median time-to-first-audio drops from 5.79s to 4.60s; standard deviation falls from 3.49s to 2.81s.
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