About this paper
Apriel Voice 27B Preview is an open speech-language model that integrates speech understanding, reasoning, and tool use within a shared backbone, achieving strong results on audio benchmarks through a two-stage training procedure with online distillation.
A capable voice assistant must do more than recognize words; it must understand requests, reason over context, sustain conversations, and act through tools. We present Apriel Voice 27B Preview, an open speech-language model that unifies these capabilities within a shared reasoning backbone while retaining text and image input modalities. Built on the post-trained Gemma 4 26B-A4B checkpoint, Apriel Voice directly processes speech and generates both responses and tool calls without requiring a separate dialogue model. We introduce a two-stage training procedure to adapt the model to speech. The first stage establishes the speech interface, while the second jointly adapts the projector and…
speech-language modelGemma 4 26B-A4Bprojectorsupervised fine-tuningtext replaycross-entropyKullback-Leibler divergenceonline distillationBig Bench AudioSpeech-BFCL
- Upvotes
- 14
- Authors
- 31
- Published
- Oct 29, 2026
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
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Apriel Voice 27B Preview: An Open Model for Speech, Reasoning, and Tool Use was first seen on Hugging Face · Daily papers on Nov 2, 2026. Since then it has appeared in 13 checks on 2 different days. Its best position was #5 of 30, reached on Nov 3, 03:28 UTC. It dropped off the list after Nov 3, 07:28 UTC.