100 lines
6.3 KiB
Markdown
100 lines
6.3 KiB
Markdown
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# Independent English/German speech preparation v1
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No ASR, VAD or Google inference has run on this fixture. The ten topic/absence
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queries and two source recordings were frozen before preparation. The sources
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are human LibriVox readings of Article 1 of the Universal Declaration of Human
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Rights, unrelated to the earlier NASA topics. They share translated content and
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are correlated; this is not a representative multilingual speech benchmark.
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| Source | Human reader | Recording permission | Original bytes |
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| --- | --- | --- | ---: |
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| [English Article 1](https://commons.wikimedia.org/wiki/File:Universal_Declaration_of_Human_Rights_-_eng_-_drb_-_Art1.ogg) | David Barnes | LibriVox public-domain dedication / copyrighted free use | 168186 |
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| [German Article 1](https://commons.wikimedia.org/wiki/File:Universal_Declaration_of_Human_Rights_-_ger_-_robu_-_Art1.ogg) | Roman Buettner | LibriVox public-domain dedication / copyrighted free use | 151136 |
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The publisher pages explicitly identify the human readers, document and language.
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The primary reference text is [UN Article 1 in English](https://www.un.org/about-us/universal-declaration-of-human-rights)
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and [UNRIC Article 1 in German](https://unric.org/de/allgemeine-erklaerung-menschenrechte/).
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The manifest records reference keywords and topic paraphrases, never model
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captions or recognition-derived ground truth. Full primary text is externally
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linked; it must not be supplied as an ASR prompt or indexed as if recognized.
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Only **319322 new bytes** were downloaded. Sources are checked against official
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Commons API size/SHA-1 and acquired SHA-256. The existing independently licensed
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US Navy drum cadence supplies the instrumental control, with its previously
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locked source bytes. Including that reused source, original inputs total
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1893869 bytes. Generated silence is exact zero PCM, released CC0.
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## Four-clip pool and honest timestamp scope
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Prepared audio is mono 16-kHz s16 WAV. Each human recording remains complete,
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with five seconds of exact leading silence; no reference words are cropped.
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The resulting English/German durations are 22.512 and 16.219 seconds. Music and
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silence controls each cover exactly thirty seconds. Core WAVs total 3159568 bytes.
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The music waveform is the first thirty seconds of the already locked drum source;
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no descriptive tags are used to gate recognition.
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Actual source audio stream starts are verified as zero, and the five-second
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padding/PCM source mapping is exact. **The publishers do not provide phrase-level
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timed captions.** Neither the padding boundary nor the whole article bounds prove
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the first phoneme or each sentence's start. Strict utterance-point scoring is
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explicitly unavailable; do not count a start anywhere in the article as precise
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localization success. Independent listening/timed annotations remain required.
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Six positive EN/DE queries describe equal dignity/rights, reason/conscience and
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brotherly treatment. Either language's recording is relevant: translated topic
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equivalence is intentional. Four absent queries ask about Mars funding and salary/
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paid leave. Silence and instrumental music remain in every candidate pool, and
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any recognized hallucination remains an explicit measured failure/competitor.
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Per-language recognized concept coverage is separate from semantic file recall.
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## Separate seam primitives
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`seam-plan.json` freezes two artificial repeat controls, outside the four-clip
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retrieval pool. English source samples repeat twice and German samples three
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times after the same known padding, producing 40.024 and 38.657 seconds. Their
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2517880 additional WAV bytes and exact piecewise source maps stress a 30-second
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window with two-second overlap. These joins are artificial repetitions, not
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natural uninterrupted speech. Do not extrapolate their quality to long talks.
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Independent byte checks verified each derived piece equals the original decoded
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source PCM and the prefix is all zeros. Compare full-source VAD on these short
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controls with bounded independent windows, recording interval disagreement,
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source coverage, seam omissions/duplicates and processing cost. Restarted VAD
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need not reproduce a continuously initialized VAD's probabilities. Preserve
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differences rather than changing thresholds or treating an unverified reference
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as infallible. The same labels must not choose gate intervals or discard a seam.
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## Preparation and acceptance
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```powershell
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python -m unittest discover -s tools/speech-eval -p test_prepare_validation.py
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python tools/speech-eval/prepare_validation.py fixtures/speech-validation-v1/fixture.json .searchi/speech-validation-v1-seams .searchi/media-runtime/bin/ffmpeg.exe .searchi/media-runtime/bin/ffprobe.exe
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```
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Preparation already completed; existing files are preserved, so use a fresh
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owned directory for another preparation. Five structural tests passed. Exact
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padding and every seam's source pieces were checked independently without a
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model. No recognition/quality score follows. Hashes are frozen in `inputs.lock.json`:
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- Fixture: `e3a850d7a2385e250408f57fe51f4620ce80a20f8625ced42205f02cc46d517d`.
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- Seam plan: `5da4400814c4965fc12a87bb00c36665300730a702a69acd65a72b9f5201ac9e`.
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- Prepared `.searchi/speech-validation-v1-seams/prepared.json`:
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`085f34f0af863656a28e7a905746973a54d1123bb07053541e09c8af0a58bb3f`.
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The earlier four-clip-only plan
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`4635e772834b0eed847459f5f4d47d7c99a591f0adba2c60ce75712557092279`
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is preserved under its original ignored directory and was never inferred.
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Before accepted scoring, require every source/window and all ten queries, strict
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UTF-8 and bounded times, zero excluded failed competitors, unchanged worker/model/
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decoder hashes and exact source-byte provenance. Report genuine German recognition
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and all preregistered reference concepts, source-level recall/MRR, absent-return
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rate and gate false positives separately. Both negative controls must retain
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zero accepted recognized speech segments; raw Google audio search stays available.
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Measure decode/VAD/ASR/alignment/Google/storage, cold model load, foreground impact
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and warm reuse separately. ASR remains bounded to thirty seconds even for seam
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controls. Pause between work units for foreground priority; do not claim native
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preemption during one inference call.
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This plan does not adopt a provider, change production search or close fine
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timestamp, long-source, accent, representative-noise or human-listening gates.
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