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CS Match / Practical audio guide

What Voice Similarity Scores Mean

Understand best score, top 5 median, matched speech, speaker summaries and technical similarity labels without treating them as identity probabilities.

Updated · Cyber Search Match

A voice similarity score measures technical resemblance to the submitted reference. A displayed percentage is not the probability that two recordings contain the same person.

Separate the score from the amount of speech.

Best score selects the strongest analysis window compared with the reference voice profile. Top 5 median takes the median of up to five strongest available window scores and reduces dependence on one peak. It still summarizes selected evidence rather than the entire recording.

Matched speech and matched ranges describe coverage under the configured match threshold. A duration and a percentage of matching windows are not additional independent identity tests. Overlapping windows and merged ranges should not be counted twice.

Report itemRead it as
Best scoreThe strongest selected comparison window
Top 5 medianA summary of up to five highest-scoring windows
Matched speechCoverage meeting the configured matching rule
Speaker summaryComparison evidence associated with a job-specific speaker group
Technical similarity labelA category derived from configured score thresholds

A confidence label is a technical category.

Strong technical similarity, possible similarity and lower categories are assigned using configured thresholds. They are not calibrated legal confidence levels. Read the score and the underlying windows rather than treating the category name as a verdict.

Recording conditions can lower the score for the same voice or raise resemblance between different voices. Noise, codec artifacts, microphone changes, overlapping speech and the content of the reference all matter. A short or mixed reference may not represent the intended voice well.

Why this example reaches 100%.

The completed screenshot uses Paulina2.mp4 as both analysis and reference. A reference containing the whole analysis recording contains both voices, so several speaker groups can score highly. This setup does not demonstrate which of two people a clean single-speaker reference would match.

Before interpreting your own result, verify the filenames, listen to the reference and inspect several matching and nonmatching moments. Use the report to guide review, not as proof of identity, authenticity or the absence of synthetic speech.

CS Match / Audio workflowActual product example
Completed Audio Analysis report with reference voice comparison, recording quality and charts
Actual completed example: the analysis and reference both use Paulina2.mp4. This self-comparison explains the very high scores; it is not an accuracy benchmark or independent identity test.Open image for a closer look ↗

Questions about this workflow

Do I need a reference file just to transcribe?

Yes, in the current workflow. Select an analysis source and a reference source before starting. There is no separate one-file transcription mode yet. For a meaningful voice comparison, use a clean sample of the voice you want to compare.

Can I close the tab?

Keep the tab open until both uploads and submission finish. Processing then continues in the background; return to your Audio task list for progress and the report.