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Extract confidence #1183

Answered by jongwook
emanueleielo asked this question in Q&A
Apr 1, 2023 · 2 comments · 2 replies
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if you take exp() of the avg_logprob, it would somewhat correspond to segment-level confidence. Mathematically the probability/confidence would be the exponential of the sum of the logprobs rather than the average, but practically the number gets too small if you keep multiplying the per-token probabilities, to the point that average logprobs are more useful to quickly check how the model was confident overall for the segment.

Word- or token-level confidence as discussed in #284, #991, or #1119 will be more theoretically grounded, but it's still gets mixed influence from the language modeling perspective (how likely a word would follow another word) and ASR (how likely the speech containe…

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