菜单
Guides the judge agent to compare transcript candidates conservatively and use the transcript-analysis tools. Default judge behavior; allows all four analysis tools.
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Generates two Gemini candidates (primary plus an automatically chosen secondary model) so the judge can cross-check disagreements. Use when accuracy matters more than latency or cost.
Runs a primary Gemini candidate alongside a Parakeet ASR candidate so the judge can cross-check timing-sensitive transcripts. Use when word-level timestamp precision matters or Gemini timestamps alone are unreliable.
Generates a single Gemini transcription candidate. Use as the fastest, lowest-cost strategy when one strong model pass is sufficient.
Transcribes interviews and Q&A sessions faithfully with speaker turns exactly as spoken. Use when expected_format is "interview" or the audio is a one-on-one interview, journalist Q&A, or research session.
Transcribes lectures, talks, and presentations faithfully, surfacing main points only when clearly spoken. Use when expected_format is "lecture" or the audio is a class, keynote, seminar, or single-presenter talk.
Transcribes legal proceedings, depositions, and hearings preserving exact wording, legal terminology, and attribution. Use when expected_format is "legal" or the audio is a deposition, court hearing, or legal consultation.
基于 SOC 职业分类
| name | transcript-judging |
| description | Guides the judge agent to compare transcript candidates conservatively and use the transcript-analysis tools. Default judge behavior; allows all four analysis tools. |
| metadata | {"kind":"judge","judge_tools":"quality_metrics,timestamp_analysis,candidate_diff,boundary_analysis","version":"1.0.0"} |
Compare the candidates for the same audio span and select the strongest, or merge them when it clearly improves accuracy. Prefer the more conservative wording when candidates disagree. Use the transcript-analysis tools (quality_metrics, timestamp_analysis, candidate_diff, boundary_analysis) when candidate quality, timestamp health, differences, or boundary consistency would help the decision. Tools inspect transcript text and metadata only — never raw audio.
