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Fact · Voice and AI

NVIDIA's Canary-Qwen model maps the audio encoder's output into the language model's embedding space through a linear projection.

Checked against its source on October 17, 2026

In the source's own words

“The audio encoder computes audio representation that is mapped to the LLM embedding space via a linear projection”

canary-qwen-2.5b model card, NVIDIA, Hugging Face, n.d., Model Architecture.

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What it measures
The model card says the design pairs a FastConformer audio encoder with the Qwen3-1.7B language model, and that low-rank adaptation (LoRA) is applied to the language model.
What it does not show
This describes the model's design from its model card. The benchmark numbers for the model come from the leaderboard, not from the card.

Source

Cited on

Canary-Qwen connects its audio encoder to the LLM by projection | Yap