Direct answer
Tackling offline voice commands on Android begins with treating the pipeline as a sequence of clearly separated stages, beginning with the moment audio is captured and continuing through each subsequent step. Recording, recognition, intent validation, confirmation, and execution are presented as distinct phases that should not be collapsed or skipped, and no assumption is made about what lies beyond the scope of these five divisions.
Evidence to collect
The claim becomes reviewable only when the following evidence is attached to the same artifact and test run:
- Audio and transcript fixtures
- Intent allowlist
- Confirmation and rejection tests
Task quality needs a versioned corpus and acceptance rules. Fluent sample output is not an accuracy result.
Implementation workflow
The available evidence, in the form of audio and transcript fixtures, an intent allowlist, and confirmation and rejection tests, is meant to be recorded and then compared side by side, allowing each stage of the flow to be examined against the others. This comparison, anchored in the listed artefacts, provides a grounded basis on which the offline voice command behaviour is documented.
- Write the user promise and offline requirement.
- Separate source data from derived output.
- Define typed stage contracts.
- Create privacy-safe fixtures and expected properties.
- Test each stage without hiding partial failure.
- Run the complete task in airplane mode and through lifecycle changes.
Failure patterns to prevent
- Executing raw transcript
- Hiding recognition uncertainty
Among the pitfalls, executing raw transcripts without filtering and hiding recognition uncertainty stand out as risks to be documented, and release wording is strictly limited to what the recorded evidence actually shows. Anything that exceeds those observations is deliberately excluded from the documented scope.
Minimum reproducibility record
| Layer | Record |
|---|---|
| Device | Manufacturer, model, chipset, RAM class, operating-system build |
| Software | Application version and git commit |
| Model | Family, variant, revision, format, file length, hash, quantization |
| Runtime | Name, revision, requested backend, observed backend evidence |
| Workload | Fixture revision, input hash, prompt hash, output policy |
| Outcome | Completed, failed, cancelled, fallback, and privacy-safe diagnostics |
Release checklist
- ☐ The primary query is answered without an unsupported number.
- ☐ Every artifact and runtime is pinned.
- ☐ The representative task and failure policy are explicit.
- ☐ Lifecycle, cancellation, cleanup, and fallback are tested.
- ☐ User-content and network boundaries are documented.
- ☐ Result wording applies only to the recorded configuration.
- ☐ The page links to raw method or evidence when results are added.
Sources and related evidence
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