Exclusive diarization resolves overlaps by cluster index, not acoustics — fix by keeping the activation scores - #9
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…cluster index make_exclusive documents itself as 'zero out all but the highest-scoring speaker in each frame', but there are no scores left by the time it runs: Reconstructor::reconstruct/reconstruct_smoothed write 1.0 for every active speaker (and post_inference may binarize() on top). Every overlapped frame is an N-way tie among 1.0s, and Iterator::max_by returns the last maximum on ties — so the surviving speaker is whichever has the highest cluster index. Measured on AMI test-16: across 22,297 sampled overlap frames, the winner was the highest-indexed speaker 100.0% of the time. Change: one activation pass now feeds both reconstructions (reconstruct*_with variants) and a new exclusive_from(full, activations) keeps, per frame, the active speaker with the highest activation score. The exclusive timeline then goes through the same binarize duration filter and merge_segments gap merge as the full one. DiarizationResult gains exclusive_segments. By construction a frame with >=1 active speaker keeps exactly one and an empty frame stays empty — speech is neither invented nor lost (union of speech time verified bit-identical before/after on all 16 meetings). AMI test-16, collar 0.25, UEM, overlap included (pyannote community-1 control): exclusive DER 18.654% -> 17.813% (control 17.828%), confusion 2.655 -> 1.814, missed 14.375 and false alarm 1.624 unchanged. Full diarization is bit-identical on 16/16 files — the fix touches only the exclusive path.
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📝 WalkthroughWalkthroughThe pipeline now computes standard and exclusive diarization from shared frame activations. It filters and merges both outputs independently, returns ChangesExclusive diarization
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🟡 Moderate · up to Padding and short-gap filling can cause the supposedly exclusive diarization output to contain two speakers in the same frame, which may misattribute speech even though total speech time is unchanged. The PR is not merge-ready until exclusivity is restored after these transformations and the case is covered by a regression test. Sequence Diagram(s)sequenceDiagram
participant PostInference
participant Reconstructor
participant exclusive_from
participant DiarizationResult
PostInference->>Reconstructor: compute shared frame activations
PostInference->>Reconstructor: build standard or smoothed diarization
PostInference->>exclusive_from: pass full diarization and activations
exclusive_from-->>PostInference: return exclusive diarization
PostInference->>DiarizationResult: store filtered and merged segments
Suggested reviewers: 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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| Filename | Overview |
|---|---|
| src/pipeline/post_inference.rs | Shares continuous activations across reconstruction variants and assembles exclusive segments, but post-exclusive duration cleanup can reintroduce overlap or silence. |
| src/reconstruct.rs | Adds caller-supplied activation reconstruction APIs and selects the strongest acoustically supported active speaker for each exclusive frame. |
| src/pipeline/types/data.rs | Extends DiarizationResult with the documented exclusive segment output. |
| src/pipeline/chunk_embedding.rs | Keeps the batch empty-result construction aligned with the expanded result type. |
Flowchart
%%{init: {'theme': 'neutral'}}%%
flowchart LR
A[Frame activations] --> B[Standard or smoothed top-K reconstruction]
A --> C[Acoustic-score exclusive selection]
B --> D[Full discrete diarization]
C --> E[Exclusive discrete diarization]
D --> F[Duration cleanup]
E --> G[Per-speaker duration cleanup]
F --> H[Segments]
G --> I[Exclusive segments]
Reviews (1): Last reviewed commit: "Fix exclusive diarization: resolve overl..." | Re-trigger Greptile
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| let (discrete_diarization, exclusive_diarization) = if has_duration_filter { | ||
| ( | ||
| DiscreteDiarization(binarize(&discrete_diarization, &config.binarize)), | ||
| DiscreteDiarization(binarize(&exclusive_diarization, &config.binarize)), |
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When minimum-duration filtering is enabled, binarize cleans each column of the already-exclusive matrix independently. Filling a short off-run can reactivate one speaker during frames assigned to another, while removing a short on-run can erase the sole active speaker, causing exclusive_segments to contain overlaps or lose speech under the fast-mode defaults.
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Inline comments:
In `@src/pipeline/post_inference.rs`:
- Around line 64-68: After binarizing `exclusive_diarization` in the
`has_duration_filter` branch, run the existing exclusive-resolution logic before
constructing the final `DiscreteDiarization`, so overlapping speaker activations
are reduced to one speaker per frame. Add a regression test covering adjacent
speakers with nonzero padding and verify that `exclusive_segments` remains
non-overlapping.
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src/pipeline/chunk_embedding.rssrc/pipeline/post_inference.rssrc/pipeline/types/data.rssrc/reconstruct.rs
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exclusive_from() guarantees at most one active speaker per frame, but that guarantee doesn't survive binarize(): it runs per-speaker independently, so min_duration_on/pad_onset/etc. can extend one speaker's region into a frame another speaker's region was independently extended into, reintroducing overlap in the 'exclusive' output. Found by @coderabbitai/greptile review on this PR (thank you) and confirmed empirically: all 16 AMI test-16 files had post-binarize overlap in the exclusive channel (20-183 overlapping segment pairs per file) before this fix. Fix: resolve_exclusive_conflicts() re-collapses any frame left with >1 active speaker after binarize to its highest-activation speaker, using the same scores exclusive_from used originally. Verified on AMI test-16: overlap count 0/16 files after the fix (down from 20-183 per file), DER unchanged at 17.813% (still beating the pyannote exclusive control of 17.828%) - the fix is accuracy-neutral, pure correctness.
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Pushed a follow-up commit addressing the review: exclusivity established by |
2 participants
Part of the patch series introduced in #7.
make_exclusiveruns on binarized activations, so every overlap tie resolves to the highest cluster index (100.0% of 22,297 sampled AMI overlap frames). Fixed by resolving overlaps on the continuousframe_activationsinstead.AMI test-16, collar 0.25, UEM, overlap included, pyannote community-1 as control:
Full diarization bit-identical on 16/16 files; union of speech time identical before/after (nothing dropped — the wrong speaker was being named). Downstream word-level attribution WSER 1.312% → 0.890% on a 2-speaker 66.5-min clip.
Summary by CodeRabbit
New Features
Improvements