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@hypit/speech-evidence

v0.1.0

Published

Provider-neutral acoustic and word-alignment observations. Evidence is not the authored semantic truth.

Readme

@hypit/speech-evidence

Provider-neutral acoustic and word-alignment observations. Evidence is not the authored semantic truth.

External package authors import these contracts from @hypit/speech-evidence; their logical Module identity remains @hypit/speech-evidence@1.

SpeechEvidenceAudio carries canonical 16 kHz mono WAV bytes, their exact sample count and the LocalTemporalDomain identity from which they were projected. AlignedTranscriptEvidence preserves that domain identity and sample span while adding measured passages, words, characters and speech activity. Providers therefore return evidence for the same explicit source domain rather than an unidentified transcript that a later package must reconnect by inspecting Media.

The package also owns the provider-neutral project-speech-evidence-audio Capability and its deterministic request Producer. That Producer verifies one SynchronizedMedia value against its explicit LocalTemporalDomain, then requests the exact 16 kHz mono projection. A media Provider may implement the bytes, but media operations do not own the acoustic-evidence contract.

Transcript evidence document

hypit.transcript@1 is the portable file view written by model-specific transcription tools. This package owns its parsing and its exact word/phrase range operations because those operations concern speech evidence, not FFmpeg and not a Timeline. A local-media inspection tool may use the returned seconds ranges to select frames, but it does not acquire ownership of transcript meaning.

wordsAt uses half-open word spans and preserves overlaps. phraseRanges matches whole consecutive words, preserves repeated occurrences and returns each measured range; it never guesses which occurrence an author intended. Missing word times remain missing rather than being inferred as silence. These values stay on the transcript input's local clock until an explicit semantic mapping projects evidence onto authored Narrative.