Buildable artifact · stage 8

Parakeet browser ASR receipt

A paired browser/native ASR lab: Parakeet wins bounded WER and latency while a frozen 50x short-clip throughput gate catches fixed dispatch cost.

Readiness
guided replay
Kind
browser inference artifact
Workload
eight reference-scored LibriSpeech clips against native WhisperKit
Stage
Cross runtime boundaries

Artifact contract

A paired browser/native ASR lab: Parakeet wins bounded WER and latency while a frozen 50x short-clip throughput gate catches fixed dispatch cost.

This browser inference artifact is classified as guided replay. Workload guidance: eight reference-scored LibriSpeech clips against native WhisperKit.

Build

Trace model download, cache, WebGPU load, audio preprocessing, and decoded transcript.

Modify

Change audio input, caching policy, or runtime adapter while preserving the receipt schema.

Tune

Tune chunking, preprocessing, and execution policy before changing model weights.

Prove

Recompute paired WER, proper nouns, repetitions, per-clip RTFx, and the frozen decision.

Package

Retain runtime versions, browser/device facts, cache state, input provenance, output, and limitations.

CLI surface

    How to read this dossier

    This canonical page separates the retained repository decision from the material that informed it. A source may describe an external claim, historical measurement, local observation, or planned procedure; those evidence classes are not interchangeable. Follow the provenance links before reusing a number or method.

    Status and disposition describe what PostTrainLLM retained when this record was indexed. They are not a live product promise, a newly run benchmark, or permission to restart historical work. Unknown or unmeasured fields remain unknown rather than being treated as zero.

    To reuse the record, first name the exact claim you need and trace it to the linked source. Then check whether the original environment, model revision, data split, evaluator, hardware, and budget match the proposed use. If they do not, treat the record as a hypothesis or design reference and run the smallest fresh comparison that can falsify it. Preserve negative outcomes and regressions beside any improvement; a local win on one slice does not silently become a general capability claim.

    Source provenance

    The normalized record comes from docs/learn/artifact-journey.json. The links below are the tracked evidence and explanatory sources preserved with the record.