Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into appgw-morleyan

Author: greg-lindsay

articles/ai-services/speech-service/how-to-pronunciation-assessment.md

@@ -418,7 +418,7 @@ The following table describes the prosody assessment results in more detail:
 | `ErrorTypes`      | Error types related to breaks, including `UnexpectedBreak` and `MissingBreak`. The current version doesn't provide the break error type. You need to set thresholds on the fields `UnexpectedBreak – Confidence` and `MissingBreak – confidence` to decide whether there's an unexpected break or missing break before the word. |
 | `UnexpectedBreak` | Indicates an unexpected break before the word. |
 | `MissingBreak`    | Indicates a missing break before the word. |
-| `Thresholds`      | Suggested thresholds on both confidence scores are 0.75. That means, if the value of `UnexpectedBreak – Confidence` is larger than 0.75, it has an unexpected break. If the value of `MissingBreak – confidence` is larger than 0.75, it has a missing break. If you want to have variable detection sensitivity on these two breaks, you can assign different thresholds to the `UnexpectedBreak - Confidence` and `MissingBreak - Confidence` fields. |
+| `Thresholds`      | Suggested thresholds on both confidence scores are 0.75. That means, if the value of `UnexpectedBreak – Confidence` is larger than 0.75, it has an unexpected break. If the value of `MissingBreak – confidence` is larger than 0.75, it has a missing break. While 0.75 is a value we recommend, it's better to adjust the thresholds based on your own scenario. If you want to have variable detection sensitivity on these two breaks, you can assign different thresholds to the `UnexpectedBreak - Confidence` and `MissingBreak - Confidence` fields.  |
 | `Intonation`      | Indicates intonation in speech. |
 | `ErrorTypes`      | Error types related to intonation, currently supporting only Monotone. If the `Monotone` exists in the field `ErrorTypes`, the utterance is detected to be monotonic. Monotone is detected on the whole utterance, but the tag is assigned to all the words. All the words in the same utterance share the same monotone detection information. |
 | `Monotone`   | Indicates monotonic speech. |