This internal experiment ranks actual recognized ASR text with the shared Google EmbeddingGemma 2 adapter. It is separate from production ANN/hybrid search and does not add speech recognition to the application.

All valid segments from the NASA video and four music/sound competitors enter the same candidate pool. Original source filenames are the only document titles; recognized text is unchanged. Frozen relevance intervals never select, rewrite, filter or rank candidates. General Google search queries use the normal 512-token query role; document encoding uses 2048 tokens. The document process is dropped before opening the query process. Both use forced CPU and one thread.

Long segments use the actual Google tokenizer's source-preserving windows. Every vector's original segment and UTF-8 byte range are recorded. Exact cosine scores are computed from genuine Google vectors and aggregated by maximum over token windows belonging to the same original ASR segment. All vector and segment ranks are retained; at most the first 100 segment hits per query are exported for the existing scorer. Ties use stable source order. No confidence threshold or oracle matching is applied.

cargo test --manifest-path tools/speech-rank/Cargo.toml --locked
cargo build --release --manifest-path tools/speech-rank/Cargo.toml --locked
$env:SEARCHI_FORCE_CPU = '1'
tools/speech-rank/target/release/searchi-speech-rank.exe .searchi/speech/base-results.json fixtures/media/fixture.json C:/path/to/verified-models C:/path/to/searchi-gemma-worker.exe .searchi/speech/base-google-ranks.json
python tools/speech-eval/score.py --rankings .searchi/speech/base-google-ranks.json --output .searchi/speech/base-google-score.json

Run only after the shared inference CPU slot is released. The output directory must exist, and the output filename must be new. create_new reserves evidence before costly work; atomic JSON checkpoints retain incomplete phases. Inputs are bounded, source/model hashes verified, and recognized segment timestamps reconstructed from actual Whisper JSON to reject stale normalized text. Reports from truncated decoding or an older policy are rejected. The artifact records the actual ASR bytes, worker/runner/model hashes and process/timing information.

Invalid ASR windows are explicitly marked ineligible with reasons, never quietly discarded. A report with any excluded window has quality_score_eligible: false: do not publish a quality score from a reduced competitor pool. Valid hallucinated music or sound text remains eligible and must compete. complete reports prove the diagnostic finished, not speech accuracy.

Exported start_ms/end_ms refer to the full original media timeline. They are ASR segment approximations, potentially affected by 30-second recognition boundaries; they are not word alignment. A token window retains its containing segment's same interval. The existing eight frozen NASA queries constitute a tiny diagnostic, not held-out calibration, general media quality or production proof.