Prevent sampleless speaker identities

2026-06-02 10:39:00 +02:00
parent a3bad1bdd4
commit e3f4e87319
10 changed files with 101 additions and 50 deletions
@@ -215,7 +215,7 @@ The configured maximum snippet count per identity SHALL prevent unbounded growth

 Live speaker matching SHALL be read-only with respect to the speaker identity database. Candidate elimination, canonical promotion, transcription counters, stored snippet updates, and new unmatched identity creation SHALL happen only after transcription is finished and after automatic summary generation has completed, using the latest meeting note frontmatter.

-When the summary agent records a speaker override from a diarized transcript label to a named speaker, final speaker identity processing SHALL attach the current run speaker sample to an existing identity with that name when one exists, or create a new canonical speaker identity with that name when none exists.
+When the summary agent records a speaker override from a diarized transcript label to a named speaker, final speaker identity processing SHALL attach the current run speaker sample to an existing identity with that name when one exists, or create a new canonical speaker identity with that name when none exists. Meeting Assistant SHALL NOT create a new speaker identity for an override when no current run sample or current run candidate can be resolved for the source speaker label.

 When a speaker override maps a current-run unnamed candidate to an existing named identity, Meeting Assistant SHALL merge the candidate's meeting reference and useful snippets into the named identity instead of leaving a duplicate candidate.

@@ -253,6 +253,13 @@ When the summary agent records that a speaker identity was wrongfully matched, f
 - **THEN** Meeting Assistant creates a canonical speaker identity named `Sabrina`
 - **AND** stores the meeting reference and current speaker sample on that identity

+#### Scenario: Speaker override with missing source sample is skipped
+- **GIVEN** the speaker identity database has no accepted name `Sabrina`
+- **AND** the summary agent records that transcript speaker `Guest-5` is `Sabrina`
+- **AND** final speaker identity processing has no sample or segment for `Guest-5`
+- **WHEN** final speaker identity processing runs
+- **THEN** Meeting Assistant does not create a speaker identity for `Sabrina`
+
 #### Scenario: Speaker identity deletion removes a wrong match
 - **GIVEN** the speaker identity database contains canonical speaker `Sabrina`
 - **AND** the summary agent records that `Sabrina` was wrongfully matched