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AI Voice Analysis tool works well for candidates for any position and any language

20 Dec 2024 · 0 min

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An AI voice-analysis tool evaluates job candidates across any language by reading tonal cues, not words. Performance doesn't depend on the role, but getting results right requires defining the right metrics and identifying which traits actually matter for each person.

We have found that we have worked just as well with languages that we did not train on based on the tones.
And I think this is truly fascinating. I'm wondering, are there roles where this works less well, you know, less well for a surgeon than for a lab assistant, for example?
I, I would not say so. The key is really is the— I think the challenge is is that one has to define the right metrics to look at and to seek, and that this will look for those metrics that that person, those traits that that person, individual has, and look to see how well they match. If they overlook or they ignore one, or, you know, they just didn't pay enough attention to it, that could be, uh, or that could be one issue.