Turning a Bluetooth Speaker into a Smart Assistant with Qwen 3.5‑Omni

The author demonstrates a proof‑of‑concept that combines Qwen 3.5‑Omni's real‑time internet search and audio output with a locally hosted voice‑wake‑up model to transform a Bluetooth speaker into an always‑on smart assistant, while noting latency challenges and the potential of a sub‑10B open‑source alternative.

Old Zhang's AI Learning
Old Zhang's AI Learning
Old Zhang's AI Learning
Turning a Bluetooth Speaker into a Smart Assistant with Qwen 3.5‑Omni

In a previous post the author introduced Qwen 3.5‑Omni, highlighting its native internet‑search capability, tool‑calling support, and audio‑output voice synthesis, which together enable a large‑model‑powered smart speaker.

Using the real‑time API of Qwen 3.5‑Omni together with a locally running voice‑wake‑up model, the author built a demo that runs on a continuously powered Mac mini. An external microphone captures speech, the wake word "小千小千" activates the system, and the model answers queries; when the answer requires up‑to‑date information, the model performs a live web search before responding.

The demo successfully turns a Bluetooth speaker into an interactive assistant, but the author observes noticeable latency, likely caused by network round‑trips to the API endpoint. They suggest that a fully local deployment of a sub‑10 B open‑source version of the model would eliminate this delay.

The accompanying code, originally shared by Vibe coding, runs as‑is; the author notes it could be further optimized and eventually released as open source. Prompt engineering details are pinned in the comment section of the original post.

Large Language ModelBluetoothAI integrationsmart speakerreal-time searchQwen3.5voice wake‑up
Old Zhang's AI Learning
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Old Zhang's AI Learning

AI practitioner specializing in large-model evaluation and on-premise deployment, agents, AI programming, Vibe Coding, general AI, and broader tech trends, with daily original technical articles.

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